Practice Free DOP-C02 AWS Certified DevOps Engineer - Professional Exam Questions Answers With Explanation

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Create an AWS Lambda function that returns SUCCESS when the EC2 instance type property matches a value from a list of approved instance types. Activate a CloudFormation Guard Hook in the new AWS account to run the Lambda function.

Create an AWS Config rule that uses the desired-instance-type rule in the new AWS account. Provide the list of approved instance types in the rule configuration. Create a remediation for the AWS Config rule that uses the AWS-StopEC2Instance remediation action.

Create an SCP that includes a Deny effect for ec2:RunInstances when the ec2:InstanceType property does not match a value from a list of approved instance types. Attach the SCP to the root of the organization.

Create a CloudFormation Guard rule to ensure that the EC2 instance type matches a value from a list of approved instance types. Activate a Guard Hook in the new AWS account to run the Guard rule.

Create an association in Systems Manager State Manager . Target all the managed nodes. Include the software in the association. Configure the association to use the Systems Manager document.

Set up AWS Config to record all the resources in the account. Create an AWS Config custom rule to determine if the software is installed on all the EC2 instances. Configure an automatic remediation action that uses the Systems Manager document for noncompliant EC2 instances.

Activate Amazon EC2 scanning on Amazon Inspector to determine if the software is installed on all the EC2 instances. Associate the findings with the Systems Manager document.

Create an Amazon EventBridge rule that uses AWS CloudTrail to detect the RunInstances API call. Configure inventory collection in Systems Manager Inventory to determine if the software is installed on the EC2 instances. Associate the Systems Manager Inventory with the Systems Manager document.

Use SSH to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

Use AWS Systems Manager Session Manager to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

Create an Amazon S3 bucket to store CodeDeploy logs. Update the appspec.yml file to copy logs to the S3 bucket. Query the S3 bucket by using Amazon Athena.

Send CodeDeploy agent logs to Amazon CloudWatch Logs by using the CloudWatch agent. Analyze the logs by using CloudWatch Logs Insights.

Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.

Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.

Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.

Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.

Deploy the application on AWS Elastic Beanstalk. Deploy an Amazon RDS for MySQL DB instance as part of the Elastic Beanstalk configuration.

Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk.

Configure a notification email address that alerts the application team in the AWS Elastic Beanstalk configuration.

Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team.

Use the immutable deployment method to deploy new application versions.

Use the rolling deployment method to deploy new application versions.

Enable AWS Security Hub in the account. Enable the Security Hub control to evaluate the account-level Block Public Access settings. Enable automated remediation for the Security Hub control.

Set up AWS Config in the account. Create an AWS Config managed rule that evaluates the account-level Block Public Access settings. Enable automatic remediation for the rule by using a predefined AWS Systems Manager runbook to configure S3 Block Public Access settings.

In the organization’s management account, create an SCP that denies S3 actions from outside the AWS account. Attach the SCP to the member account.

Enable Amazon Macie in the account. Create an Amazon EventBridge rule with an event pattern that matches Macie policy findings. Configure the rule with an EventBridge target to run a predefined AWS Systems Manager runbook to configure S3 Block Public Access settings.

Create a new launch template that uses the new AMI.

Update the Auto Scaling group to use the new launch template.

Reduce the Auto Scaling group ' s desired capacity to O.

Increase the Auto Scaling group ' s desired capacity by I.

Create a new AMI from a running EC2 instance in the Auto Scaling group.

Create a new AMI by copying the most recent public AMI of the operating system that the EC2 instances use.

The config.txt file will be deployed to only /var/www/html/config/config txt

The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.

The config.txt file will be deployed to only /usr/local/src/config txt

The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt

Basic scanning with EventBridge for Inspector findings and Lambda to reject manual approval if critical vulnerabilities found.

Enhanced scanning, Lambda invokes Inspector for SBOM, exports to S3, Athena queries SBOM, rejects manual approval on critical findings.

Enhanced scanning, EventBridge listens to Detective scan findings, Lambda rejects manual approval on critical vulnerabilities.

Enhanced scanning, EventBridge listens to Inspector scan findings, Lambda rejects manual approval on critical vulnerabilities.

Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.

Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution ' s origin to use the new record set.

Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution ' s default behavior to send origin responses to the function.

Change the current single tag group to include only the Environment=Production tag Add another single tag group that includes only the Name=ApplicationA tag.

Change the current single tag group to include the Department=Marketmg Environment=Production and Name=ApplicationAtags

Add another single tag group that includes only the Department=Marketing tag. Keep the Environment=Production and Name=ApplicationA tags with the current single tag group

Change the current single tag group to include only the Environment=Production tag Add another single tag group that includes only the Department=Marketing tag

Write a script to launch an Amazon EC2 instance from the previous golden image Apply the patch updates Install the new version of the Chef agent, generate a new golden image, and then modify the AMI permissions to share only the new image with the department ' s accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Use AWS Resource Access Manager to share EC2 Image Builder images with the department ' s accounts

Use an AWS Systems Manager Automation runbook to update the Linux AMI by using the previous image Provide the URL for the script that will update the Chef agent Use AWS Organizations to replace the previous golden image in the department ' s accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Create a parameter in AWS Systems Manager Parameter Store to store the new AMI ID that can be referenced by the department ' s accounts

Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.

Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

Create CloudFormation StackSets with approved CloudFormation templates.

Create AWS Service Catalog products with approved CloudFormation templates.

Create an ECR private repository in the private registry to store the container images and scan images when images are pushed to the repository. Configure a replication rule in the private registry to replicate images from upstream repositories.

Create an ECR public repository in the public registry to cache images from upstream source repositories. Create an ECR private repository to store images. Configure the private repository to scan images when images are pushed to the repository.

Create an ECR public repository in the public registry. Configure a pull through cache rule for the repository. Create an ECR private repository to store images. Configure the ECR private registry to perform basic scanning.

Create an ECR private repository in the private registry to store the container images. Enable basic scanning for the private registry, and create a pull through cache rule.

Configure Amazon Route 53 to point to API Gateway APIs in North America and Europe using health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB table in the same Region as the Lambda function.

Configure Amazon Route 53 to point to API Gateway APIs in North America and Europe using latency-based routing and health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB global table.

Configure Amazon Route 53 to point to API Gateway in North America, create a disaster recovery API in Europe, and configure both APIs to forward requests to the Lambda functions in that Region. Retrieve the data from a DynamoDB global table. Deploy a Lambda function to check the North America API health every 5 minutes. In the event of a failure, update Route 53 to point to the disaster recovery API.

Configure Amazon Route 53 to point to API Gateway API in North America using latency-based routing. Configure the API to forward requests to the Lambda function in the Region nearest to the user. Configure the Lambda function to retrieve and update the data in a DynamoDB table.

Deploy the application by using AWS Fargate containers. Migrate the database to Amazon DynamoDB. Use Amazon API Gateway to route requests.

Deploy the application on EC2 instances across multiple Availability Zones. Put the EC2 instances into an Auto Scaling group behind an Application Load Balancer. Migrate the database to Amazon Aurora Multi-AZ. Use Amazon CloudFront for content delivery.

Use AWS Elastic Beanstalk to deploy the application across multiple AWS Regions. Migrate the database to Amazon Redshift. Use Amazon ElastiCache for session management.

Migrate the application to AWS Lambda functions. Use Amazon S3 for static content hosting. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

In the source account, copy the unencrypted AMI to an encrypted AMI. Specify the KMS key in the copy action.

In the source account, copy the unencrypted AMI to an encrypted AMI. Specify the default Amazon Elastic Block Store (Amazon EBS) encryption key in the copy action.

In the source account, create a KMS grant that delegates permissions to the Auto Scaling group service-linked role in the target account.

In the source account, modify the key policy to give the target account permissions to create a grant. In the target account, create a KMS grant that delegates permissions to the Auto Scaling group service-linked role.

In the source account, share the unencrypted AMI with the target account.

In the source account, share the encrypted AMI with the target account.

Create an IAM service role to allow access to the resources that are required to run the tests.

Create a pipeline in AWS CodePipeline that has a test stage. Create a trigger to run the pipeline when pull requests are created or updated. Add a source action to report test results.

Create an AWS CodeBuild project to run the tests. Enable webhook triggers to run the tests when pull requests are created or updated. Enable build status reporting to report test results.

Create a buildspec.yml file that has a reports section to upload output files when the tests have finished running.

Create a buildspec.yml file that has an artifacts section to upload artifacts when the tests have finished running.

Create an appspec.yml file that has a files section to upload output files when the tests have finished running.

Create an Amazon S3 gateway endpoint Update the route tables for the subnets that are running the CodeBuild job.

Update the repository policy ' s Principal statement to include the ARN of the role that the CodeBuild project uses.

Share the CodeArtifact repository with the organization by using AWS Resource Access Manager (AWS RAM).

Update the role that the CodeBuild project uses so that the role has sufficient permissions to use the CodeArtifact repository.

Specify the account that hosts the repository as the delegated administrator for CodeArtifact in the organization.

Add the NAT instance to an EC2 Auto Scaling group that spans multiple Availability Zones. Update the route tables.

Create additional EC2 instances spanning multiple Availability Zones. Add an Application Load Balancer to split the load between them.

Configure an Application Load Balancer in front of the EC2 instance. Configure Amazon CloudWatch alarms to recover the EC2 instance upon host failure.

Replace the NAT instance with a NAT gateway in each Availability Zone. Update the route tables.

Replace the NAT instance with a NAT gateway that spans multiple Availability Zones. Update the route tables.

Add a deploy stage to the pipeline Configure Amazon ECS as the action provider

Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider

Add an appspec.yml file to the CodeCommit repository

Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.

Create an AWS Lambda function that runs connectivity checks and API calls against the service. Integrate the Lambda function with CodePipeline by using aLambda action stage

Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket. Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.

Create a new AWS account in AWS Organizations Create a VPC in this account and use AWS Resource Access Manager to share the private subnets of this VPC with the organization Instruct the service teams to launch a new. Network Load Balancer (NLB) and EC2 instances that use the shared private subnets Use the NLB DNS names for communication between microservices.

Create a Network Load Balancer (NLB) in each of the microservice VPCs Use AWS PrivateLink to create VPC endpoints in each AWS account for the NLBs Create subscriptions to each VPC endpoint in each of the other AWS accounts Use the VPC endpoint DNS names for communication between microservices.

Create a Network Load Balancer (NLB) in each of the microservice VPCs Create VPC peering connections between each of the microservice VPCs Update the route tables for each VPC to use the peering links Use the NLB DNS names for communication between microservices.

Create a new AWS account in AWS Organizations Create a transit gateway in this account and use AWS Resource Access Manager to share the transit gateway with the organization. In each of the microservice VPCs. create a transit gateway attachment to the shared transit gateway Update the route tables of each VPC to use the transit gateway Create a Network Load Balancer (NLB) in each of the microservice VPCs Use the NLB DNS names for communicat

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use CloudFormation drift detection to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use AWS Config rules to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a launch constraint. Use AWS Config rules to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a template constraint. Use Amazon EventBridge notifications to detect when resources have drifted from their expected state.

Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data ' s S3 bucket to each application ' s S3 bucket. Configure each application to consume data from its own S3 bucket.

Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data ' s S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.

For each application, create an S3 access point that uses the raw data ' s S3 bucket as the destination. Create an AWS Lambda function that is invoked by object creation events in the raw data ' s S3 bucket. Program the Lambda function to redact data for each application. Store the data in each application ' s S3 access point. Configure each application to consume data from its own S3 access point.

Create an S3 access point that uses the raw data ' s S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with a new ALB. Update the existing Route 53 record to use a weighted routing policy. Add a new Route 53 record that points to the new ALB with the same routing policy. Assign a weight of 90 to the existing record. Assign a weight of 10 to the new record.

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with the same ALB listener rule. Assign a weight of 90 to the existing target group. Assign a weight of 10 to the new target group.

Refactor the application to implement a feature flag for the beta version by using AWS AppConfig. Use the feature flag to enable the beta version for 10% of the EC2 instances.

Containerize and deploy the application on Amazon Elastic Container Service (Amazon ECS). Use AWS CodeDeploy to deploy the beta version by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the DevOps_Role IAM role to grant permission to assume CodePipeline_Service_Role role.

Update the S3 bucket policy to grant the PipelineAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the CodeDeployAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization ' s management account to deploy the CloudFormation template to the entire organization.

Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs-amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization ' s management account to deploy the CloudFormation template to the entire organization.

Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.

In the organization ' s management account, enable the logging policies for the organization.

use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.

In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.

Use CloudFormation drift detection to identify noncompliant resources. Use drift detection events from CloudFormation to invoke an AWS Lambda function for remediation. Configure the Lambda function to publish logs to an Amazon CloudWatch Logs log group. Configure an Amazon CloudWatch dashboard to use the log group for tracking.

Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon Athena to identify noncompliant resources. Use AWS Step Functions to track query results on Athena for drift detection and to invoke an AWS Lambda function for remediation. For tracking, set up an Amazon QuickSight dashboard that uses Athena as the data source.

Turn on the configuration recorder in AWS Config in all the AWS accounts to identify noncompliant resources. Enable AWS Security Hub with the ~no-enable-default-standards option in all the AWS accounts. Set up AWS Config managed rules and custom rules. Set up automatic remediation by using AWS Config conformance packs. For tracking, set up a dashboard on Security Hub in a designated Security Hub administrator account.

Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon CloudWatch Logs to identify noncompliant resources. Use CloudWatch Logs filters for drift detection. Use Amazon EventBridge to invoke the Lambda function for remediation. Stream filtered CloudWatch logs to Amazon OpenSearch Service. Set up a dashboard on OpenSearch Service for tracking.

Configure ECR replication to eu-west-2 on the repository. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a latency routing policy in Route 53 for the two workloads.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in ap-southeast-2.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in the same Region that the tasks run in.

Configure a new S3 bucket in eu-west-2. Configure data replication between the S3 bucket in ap-southeast-2 and the S3 bucket in eu-west-2. Configure the Fargate tasks to use the S3 bucket in the same Region that the tasks run in to perform S3 PUT and GET operations.

Configure an S3 Multi-Region Access Point for the S3 bucket in ap-southeast-2 and a new S3 bucket in eu-west-2. Configure two-way replication on the S3 buckets. Configure the workloads to use the Multi-Region Access Point for S3 PUT and GET operations.

Configure the CI/CD pipeline to deploy ECR images to both Regions. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a failover routing policy in Route 53 for the two workloads.

Use AWS CloudFormalion to create an AWS Step Functions state machine and Auto Scaling hfecycle hooks to move to one instance at a time into a wait state Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached

Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.

Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project ' s IAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.

Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the IAM service role to have access.

Update the buildspec.yml file to use the AWS CLI to assume the IAM service role for ECR operations. Add an ECR repository policy that allows the IAM service role to have access.

Create a GuardDuty threat list. Configure GuardDuty to reference the list. Create an AWS Lambda function that will update the threat list Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.

Configure an AWS WAF web ACL that includes a custom rule group. Create an AWS Lambda function that will create a block rule in the custom rule group Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty

Configure a firewall in AWS Network Firewall. Create an AWS Lambda function that will create a Drop action rule in the firewall policy Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty

Create an AWS Lambda function that will create a GuardDuty suppression rule. Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.

Configure the AWS Config ec2-volume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.

Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as *.

Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.

Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.

Create an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store. Use Aurora ' s automatic recovery capabilities in the event of a disaster.

Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in the secondary Region.

Create an Amazon Aurora cluster in multiple AWS Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two AWS Regions. Use Amazon Route 53 failover routing that points to Application Load Balancers in both Regions. Use health checks and Auto Scaling groups in each Region.

Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region.

Verify that AWS Systems Manager Agent is installed and is running on the EC2 instances that Amazon Inspector is not scanning.

Associate the target EC2 instances with security groups that allow outbound communication on port 443 to the AWS Systems Manager service endpoint.

Grant inspector: StartAssessmentRun permissions to the IAM role that the DevOps engineer is using.

Configure EC2 Instance Connect for the EC2 instances that Amazon Inspector is not scanning.

Associate the target EC2 instances with instance profiles that grant permissions to communicate with AWS Systems Manager.

Create a managed-instance activation. Use the Activation Code and the Activation ID to register the EC2 instances.

Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application-specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.

Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM. Use Amazon EventBridge to trigger automatic scaling actions based on custom events.

Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.

Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.

Create an S3 bucket in each AWS account for the artifacts Allow the pipeline to write to the S3 buckets. Create a CodePipeline S3 action to copy the artifacts to the S3 bucket in each AWS account Update the CloudFormation actions to reference the artifacts S3 bucket in the production account.

Create a customer managed KMS key Configure the KMS key policy to allow the IAM roles used by the CloudFormation action to perform decrypt operations Modify the pipeline to use the customer managed KMS key to encrypt artifacts.

Create an AWS managed KMS key Configure the KMS key policy to allow the development account and the production account to perform decrypt operations. Modify the pipeline to use the KMS key to encrypt artifacts.

In the development account and in the production account create an IAM role for CodePipeline. Configure the roles with permissions to perform CloudFormation operations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipeline account configure the CodePipeline CloudFormation action to use the roles.

In the development account and in the production account create an IAM role for CodePipeline Configure the roles with permissions to perform CloudFormationoperations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipelme account modify the artifacts S3 bucket policy to allow the roles access Configure the CodePipeline CloudFormation action to use the roles.

Create the secret in Secrets Manager with managed rotation (60 days). Reference via Parameter Store path.

Create the secret in Parameter Store with automatic rotation (unsupported).

Create the secret in Parameter Store and Lambda rotation (manual).

Create the secret in Secrets Manager with Lambda rotation using Redis rotation template and 60-day schedule. Reference via Parameter Store path.

Create an AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure an AWS CodeBuild project that clones the Git repository and applies the template.

Create an individual AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each account in the organization. Configure a pipeline in AWS CodePipeline in the security team ' s account. Ensure that the security team manually invokes the pipeline and specifies the guardrail parameters when

Create an individual AWS CloudFormation template for required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure a pipeline in AWS CodePipeline in the security team ' s account. Configure an Amazon EventBridge rule to initiate the pipeline in response to merges to the security team ' s Git r

Create a pipeline in AWS CodePipeline in the security team ' s account. Add an Amazon EventBridge rule to the pipeline that matches on PutObject events to an Amazon S3 bucket. Create an individual AWS CloudFormation template for each required guardrail. Store the templates in the S3 bucket. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization.

Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the ' etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.

Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.

Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file ' s most recent members Upload the new file to the S3 bucket.

Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.

Create an AWS Organizations SCP that denies access to all non-global services in non-US Regions. Attach the policy to the root of the organization.

Configure AWS CloudTrail to send logs to Amazon CloudWatch Logs and enable it for all Regions. Use a CloudWatch Logs metric filter to send an alert on any service activity in non-US Regions.

Use an AWS Lambda function that checks for AWS service activity and deploy it to all Regions. Write an Amazon EventBridge rule that runs the Lambda function every hour, sending an alert if activity is found in a non-US Region.

Use an AWS Lambda function to query Amazon Inspector to look for service activity in non-US Regions and send alerts if any activity is found.

Write an SCP using the aws: RequestedRegion condition key limiting access to US Regions. Apply the policy to all users, groups, and roles

Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.

Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.

Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Move the environment variables to the ' db.-deploy-bucket ‘Amazon S3 bucket, add a prebuild stage to download then export the variables.

Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.

Direct the security team to use CloudFormation to create new versions of the AMIs and to list! the AMI ARNs in an encrypted Amazon S3 object as part of the stack ' s Outputs Section Instruct the developers to use a cross-stack reference to load the encrypted S3 object and obtain the most recent AMI ARNs.

Direct the security team to use a CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs and places the latest AMI ARNs in an encrypted Amazon S3 object as part of the pipeline output Instruct the developers to use a cross-stack reference within their own CloudFormation template to obtain the S3 object location and the most recent AMI ARNs.

Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to place the AMI ARNs as parameters in AWS Systems Manager Parameter Store Instruct the developers to specify a parameter of type SSM in their CloudFormation stack to obtain the most recent AMI ARNs from Parameter Store.

Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to create an Amazon Simple Notification Service (Amazon SNS) topic so that every development team can receive notifications. When the development teams receive a notification instruct them to write an AWS Lambda function that will update their CloudFormation stack with the most recent AMI ARNs.

All API actions on all resources will be allowed

All API actions on EC2 resources will be allowed. All other API actions will be denied.

All API actions on all resources will be denied

All API actions on EC2 resources will be denied. All other API actions will be allowed.

Configure AWS Control Tower to use proactive controls (guardrails). Enable optional controls implemented with AWS CloudFormation hooks for Lambda on all OUs.

Create a new SCP that checks the lambda:VpcIds condition key for allowed values.

Create a custom AWS Config rule to detect non-VPC-connected Lambda functions.

Create a new SCP with a conditional statement that denies Lambda creation if lambda:VpcIds is null.

Configure a higher reserved concurrency for the Lambda functions.

Configure a higher provisioned concurrency for the Lambda functions

Convert the DB cluster to an Aurora global database Add additional Aurora Replicas in AWS Regions based on the locations of the company ' s customers.

Refactor the Lambda Functions Move the code blocks that initialize database connections into the function handlers.

Use Amazon RDS Proxy to create a proxy for the Aurora database Update the Lambda functions to use the proxy endpoints for database connections.

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Create an AWS CodeArtifact repository and associate the upstream repositories. Create an AWS CodeBuild project that builds the semantic version of the code artifacts. Configure the project to authenticate and connect to the CodeArtifact repository and publish the artifact to the repository.

Use AWS CodeDeploy to upload the generated semantic version of the artifact to an Amazon Elastic File System (Amazon EFS) file system.

Use an AWS CodeBuild project to build the code and to publish the generated semantic version of the artifact to AWS Artifact. Configure build caching in the CodeBuild project.

Create a new AWS CodeArtifact repository. Create an AWS Lambda function that pulls open source packages from the internet and publishes the packages to the repository. Configure AWS CodeDeploy to build semantic versions of the code and publish the versions to the repository.

In the management account, grant the DevOps engineer ' s IAM user permission to assume the OrganzatlonAccountAccessR01e IAM role in the new member account.

In the management account, create a new SCR In the SCP, grant the DevOps engineer ' s IAM user full access to all resources in the new member account. Attach the SCP to the OU that contains the new member account,

In the new member account, create a new IAM role that is named OrganizationAccountAccessRole. Attach the AdmInistratorAccess AVVS managed policy to the role. In the role ' s trust policy, grant the management account permission to assume the role.

In the new member account edit the trust policy for the Organ zationAccountAccessRole IAM role. Grant the management account permission to assume the role.

Check the ApproximateAgeOfOldestMessage metric for the SQS queue. Increase the Lambda function concurrency limit.

Check the ApproximateAgeOfOldestMessage metnc for the SQS queue Configure a redrive policy on the SQS queue.

Check the NumberOfMessagesSent metric for the SQS queue. Increase the SQS queue visibility timeout.

Check the WriteThrottleEvents metric for the DynamoDB table. Increase the maximum write capacity units (WCUs) for the table ' s scaling policy.

Check the Throttles metric for the Lambda function. Increase the Lambda function timeout.

Use Fn::ImportValue intrinsic functions in the Resources section of the template to retrieve Virtual Private Cloud (VPC) and subnet values. Use CloudFormation StackSets for the development environments, using the Count input parameter to indicate the number of environments needed. Use the UpdateStackSet command to update existing development environments.

Use nested stacks to define common infrastructure components. To access the exported values, use TemplateURL to reference the networking team’s template. To retrieve Virtual Private Cloud (VPC) and subnet values, use Fn::ImportValue intrinsic functions in the Parameters section of the root template. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.

Use nested stacks to define common infrastructure components. Use Fn::ImportValue intrinsic functions with the resources of the nested stack to retrieve Virtual Private Cloud (VPC) and subnet values. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.

Use Fn::ImportValue intrinsic functions in the Parameters section of the root template to retrieve Virtual Private Cloud (VPC) and subnet values. Define the development resources in the order they need to be created in the CloudFormation nested stacks. Use the CreateChangeSet. and ExecuteChangeSet commands to update existing development environments.

Configure the buildspec.yml file to specify multiple artifacts with different file sets. Enable local caching for the build process by using source cache mode. Use environment variables to dynamically name artifacts based on the build ID.

Configure the buildspec.yml file to output all files as a single artifact. Enable local caching for the build process by using custom cache mode. Create an AWS Lambda function that is invoked by CodeBuild completion. Program the Lambda function to split the artifact into multiple files and to upload the files to the S3 bucket with dynamic names based on build ID.

Create separate CodeBuild projects for each artifact type. Enable local caching for the build process by using Docker layer cache mode. Configure each project to output a single artifact to the S3 bucket with a dynamic name based on build ID. Use AWS Step Functions to orchestrate the projects in parallel.

Set up CodeBuild to generate a single ZIP artifact that contains all files. Enable S3 caching for the build process. Use AWS CodePipeline with a custom action to extract the files and reorganize the files into multiple artifacts in the S3 bucket. Configure the custom action to dynamically name the files based on the time of the build.

Create a global table replica of the DynamoDB table in a second Region.

Create a global secondary index for the DynamoDB table.

Create copies of the REST API and the Lambda functions in a second Region.

Create health checks in Amazon Route 53. Create DNS records that include a failover routing policy.

Create health checks in Amazon Route 53. Create DNS records that include a latency routing policy.

Create DNS records in Amazon Route 53 that include a multivalue answer routing policy.

ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.

Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.

Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.

Configure an event source of AWS Health. Configure event types that indicate scheduled instance termination and retirement. Target the AWS-RestartEC2Instance Systems Manager Automation runbook to restart the EC2 instances.

Configure an event source of Systems Manager. Configure an event type that indicates a maintenance window. Target the AWS-RestartEC2Instance Systems Manager Automation runbook to restart the EC2 instances.

Configure an event source of AWS Health. Configure event types that indicate scheduled instance termination and retirement. Target a newly created AWS Lambda function that registers a Systems Manager maintenance window task to restart the EC2 instances.

Configure an event source of EC2. Configure an event type that indicates instance state notification. Target a newly created AWS Lambda function that registers a Systems Manager maintenance window task to restart the EC2 instances.

Run the test suite in a batch build type of build matrix by using the codebuild-tests-run command.

Run the test suite in a batch build type of build fanout by using the codebuild-tests-run command.

Run the test suite in a batch build type of build list by using different subsets of the test cases.

Run the test suite in a batch build type of build graph by using different subsets of the test cases.

Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.

Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Enable AWS CloudTrail for control plane logging and deploy Logstash on nodes.

Enable control plane logging to CloudWatch and use CloudWatch Container Insights for node and pod metrics.

Enable API server logging to S3 and deploy Kubernetes Event Exporter to nodes.

Use AWS Distro for OpenTelemetry and stream logs to Amazon Redshift.

Configure AWS Firewall Manager for the organization. Create an AWS Network Firewall policy that allows only source traffic from the company ' s IP address range Set the policy scope to all accounts in the organization.

In Organizations, create an SCP that denies source IP addresses that are outside of the company s IP address range. Attach the SCP to the organization ' s root

Configure Amazon GuardDuty for the organization. Create a GuardDuty trusted IP address list for the company ' s IP range Activate the trusted IP list for the organization.

In Organizations, create an SCP that allows source IP addresses that are inside of the company s IP address range. Attach the SCP to the organization ' s root.

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.

Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.

Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.

Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

Create an association in Systems Manager State Manager targeting all managed nodes. Include the software and Systems Manager document.

Use AWS Config with a custom rule to check for antivirus installation. Configure automatic remediation using the Systems Manager document.

Use Amazon Inspector to detect missing software and associate with Systems Manager automation.

Use EventBridge to detect EC2 RunInstances events and trigger SSM automation.

Update CodeBuild build commands to run tests then deploy, set OnFailure to ABORT.

Update CodeBuild commands to run tests then deploy, add --rollback true to cdk deploy.

Update CodeBuild commands to run tests then deploy, add --require-approval any-change flag.

Create tests with AWS CDK assertions module, using template.hasResourceProperties assertions.

Create tests that use cdk diff and fail if any resource changes are detected.

Insert a manual approval action between the test actions and deployment actions of the pipeline.

Modify the buildspec.yml file for the compilation stage to require manual approval before completion.

Update the CodeDeploy deployment groups so that they require manual approval to proceed.

Update the pipeline to directly call the REST API for the penetration testing tool.

Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.

Install the Amazon Inspector agent on each EC2 instance Subscribe to Amazon EventBridge notifications Invoke an AWS Lambda function to check if a message is about user logins If it is send a notification to the security team using Amazon SNS.

Install the Amazon CloudWatch agent on each EC2 instance Configure the agent to push all logs to Amazon CloudWatch Logs and set up a CloudWatch metric filter that searches for user logins. If a login is found send a notification to the security team using Amazon SNS.

Set up AWS CloudTrail with Amazon CloudWatch Logs. Subscribe CloudWatch Logs to Amazon Kinesis Attach AWS Lambda to Kinesis to parse and determine if a log contains a user login If it does, send a notification to the security team using Amazon SNS.

Set up a script on each Amazon EC2 instance to push all logs to Amazon S3 Set up an S3 event to invoke an AWS Lambda function which invokes an Amazon Athena query to run. The Athena query checks tor logins and sends the output to the security team using Amazon SNS.

Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.

Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.

Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.

Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.

Enable S3 Replication Time Control (S3 RTC) for each replication rule used in the configuration.

Create an S3 Multi-Region Access Point in an active-passive configuration.

Call the SubmitMultiRegionAccessPointRoutes operation in the Amazon S3 API when the company needs to fail over to the S3 bucket in the second Region.

Enable S3 Transfer Acceleration on both S3 buckets.

Configure a routing control in Amazon Route 53 Application Recovery Controller (ARC) . Add both S3 buckets in an active-passive configuration.

Use Amazon Route 53 Application Recovery Controller (ARC) to shift traffic from the primary bucket to the failover bucket in the second Region.

Ensure that the EKS cluster ' s VPC subnets do not overlap with the 172.17.0.0/16 CIDR range.

Use kubectl to update the kubeconfig file to use the credentials that created the cluster.

Run the AWSSupport-TroubleshootEKSWorkerNode runbook.

Create an AWS Identity and Access Management (IAM) OpenID Connect (OIDC) provider for the cluster.

Increase the retry attempts

Configure the setting to split the batch when an error occurs

Increase the concurrent batches per shard

Decrease the maximum age of record

Create an Amazon EventBridge rule that reacts to an IAM CreateUser API call in AWS CloudTrail.

Create an Amazon EventBridge rule that reacts to an IAM GetLoginProfile API call in AWS CloudTrail.

Create an AWS Lambda function that is a target of the EventBridge rule. Configure the Lambda function to disable any access keys and delete the login profiles that are associated with the IAM user.

Create an AWS Lambda function that is a target of the EventBridge rule. Configure the Lambda function to delete the login profiles that are associated with the IAM user.

Create an Amazon Simple Notification Service (Amazon SNS) topic that is a target of the EventBridge rule. Subscribe the security team ' s group email address to the topic.

Create an Amazon Simple Queue Service (Amazon SQS) queue that is a target of the Lambda function. Subscribe the security team ' s group email address to the queue.

Create a domain in each application team ' s account. Grant each application team ' s account lull read access and write access to the application team ' s domain

Create a domain in the shared services account Grant the organization read access and CreateRepository access.

Create a repository in each application team ' s account. Grant each application team ' s account lull read access and write access to its own repository.

Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team ' s repository.

For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams ' accounts.

Set the other application teams ' repositories as upstream repositories.

Create a CloudWatch Contributor Insights rule that groups logs from the CloudWatch application logs based on instance ID and errors.

Create a resource group in AWS Resource Groups. Use the CloudFormation stack to group the resources for the application. Add the application to CloudWatch Application Insights. Use the resource group to identify the application.

Create a metric filter for the application logs to count the occurrence of the term " Error. " Create a CloudWatch alarm that uses the METRIC_COUNT function to determine whether errors have occurred. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

Create a CloudWatch alarm that uses the INSIGHT_RULE_METRIC function to determine whether a specific instance is responsible for more than half of all errors reported by EC2 instances. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

Create a CloudWatch subscription filter for the application logs that filters for errors and invokes an AWS Lambda function. Configure the Lambda function to send the instance ID and error in a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.

Deploy the AWS X-Ray daemon as a DaemonSet in the EKS cluster. Use the X-Ray SDK to instrument the application code. Redeploy the application.

Enable CloudWatch Container Insights for the EKS cluster. Use the Container Insights data to diagnose delays.

Create alarms based on existing CloudWatch metrics. Set up SNS email alerts.

Increase the timeout settings in the application code for network operations.

Deploy an Amazon RDS for SQL Server Multi-AZ DB cluster deployment that uses cross-Region read replicas . Use automation to promote the read replica to a standalone instance and to update the Route 53 record.

Deploy an Amazon RDS for SQL Server Multi-AZ DB cluster deployment. Set up automated snapshots to be copied to another Region every 5 minutes. Use AWS Lambda to restore the latest snapshot in the secondary Region during failover.

Deploy an Amazon RDS for SQL Server Single-AZ DB instance . Use AWS Database Migration Service (AWS DMS) to replicate data continuously to an RDS DB instance in another Region. Use Amazon CloudWatch alarms to notify the company about failover events.

Deploy an Amazon RDS for SQL Server Single-AZ DB instance . Configure AWS Backup to create cross-Region backups every 30 seconds. Use automation to restore the latest backup and to update the Route 53 record during failover.

Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.

Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.

Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.

Use AWS Systems Manager to create a new custom patch baseline that includes the default operating system repository and the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the new custom patch baseline.

Use AWS Direct Connect to integrate the custom repository with the EC2 instances. Use Amazon EventBridge events to deploy the patches.

Use the yum-config-manager command to add the custom repository to the /etc/yum.repos.d configuration. Run the yum-config-manager-enable command to activate the new repository.

Use AWS Systems Manager to create a patch baseline for the default operating system repository and a second patch baseline for the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the default patch baseline and the custom patch baseline.

Ensure that Amazon GuardDuty is enabled Create an Amazon CloudWatch alarm for detected EC2 and port scan findings. Connect the alarm to the SNS topic.

Ensure that Amazon Inspector is enabled Create an Amazon EventBridge event for detected network reachability findings that indicate port scans Connect the event to the SNS topic.

Ensure that Amazon Inspector is enabled. Create an Amazon EventBridge event for detected CVEs that cause open port vulnerabilities. Connect the event to the SNS topic

Ensure that AWS CloudTrail is enabled Create an AWS Lambda function to analyze the CloudTrail logs for unusual amounts of traffic from an IP address range Connect the Lambda function to the SNS topic.

Deploy an Application Load Balancer (ALB). Deploy another ALB in a different AWS Region. Enable cross-zone load balancing and sticky sessions on the ALBs. Integrate the ALBs with Amazon Route 53 latency-based routing.

Deploy a Network Load Balancer (NLB). Deploy another NLB in a different AWS Region. Enable cross-zone load balancing and sticky sessions on the NLBs. Integrate the NLBs with Amazon Route 53 geolocation routing.

Deploy a Network Load Balancer (NLB) with cross-zone load balancing enabled. Configure the NLB with IP-based targets in multiple Availability Zones. Use Amazon CloudFront for global content delivery. Implement sticky sessions by using source IP address preservation on the NLB.

Deploy an Application Load Balancer (ALB) for HTTP traffic. Deploy a Network Load Balancer (NLB) in each of the company ' s AWS Regions for WebSocket connections. Enable sticky sessions on the ALB. Configure the ALB to forward requests to the NLB.

Create a new regex pattern set. Add the regex pattern set to a new rule group. Create a new web ACL that has a default action set to Block. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic based on the new rule group.

Create an AWS WAF IP address set that matches the corporate office IP address range. Create a new web ACL that has a default action set to Allow. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic from the IP address set.

Create a new regex pattern set. Add the regex pattern set to a new rule group. Set the default action on the existing web ACL to Allow. Add a rule that has priority 0 that allows traffic based on the regex pattern set.

Create a WAF IP address set that matches the corporate office IP address range. Set the default action on the existing web ACL to Block. Add a rule that has priority 0 that allows traffic from the IP address set.

Change the Auto Scaling configuration to replace the instances when they fail the load balancer ' s health checks.

Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.

Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.

Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group Create an alarm when the memory utilization is high Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off

Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment

Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment

Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially via run command. Create an EventBridge rule to send failure notifications to Amazon SNS.

Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially. Add a conditional check for errors as the last step and send failure notifications via Amazon SES.

Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SNS.

Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SES.

Use AWS Cloud Formation StackSets to deploy the Cloud Formation stacks in all AWS accounts.

Create an SCP that has a Deny statement for the ec2: " action with a condition of " aws:RequestTag/isolation " : false.

Attach the SCP to the root of the organization.

Create an AWS Cloud Formation template that creates an EC2 instance rote that has no 1AM policies attached. Configure the template to have a security group that has an explicit Deny rule on all traffic. Use the Cloud Formation template to create an AWS Lambda function that attaches the 1AM role to instances. Configure the Lambda function to add a network ACL. Sot up an Amazon EventBridge rule to invoke the Lambda function when a specific ta

Create an AWS Cloud Formation template that creates an EC2 instance role that has no 1AM policies attached. Configure the template to have a security group that has no inbound rules or outbound rules. Use the CloudFormation template to create an AWS Lambda function that attaches the 1AM role to instances. Configure the Lambda function to replace any existing security groups with the new security group. Set up an Amazon EventBridge rule to i

Ensure that the Amazon CloudWatch agent is installed on all EC2 instances

Create a cron job that is installed on each EC2 instance to periodically delete temporary files.

Create an Amazon CloudWatch log group for the EC2 instances. Configure a cron job that is installed on each EC2 instance to write the available disk space to a CloudWatch log stream for the relevant EC2 instance.

Create an Amazon CloudWatch alarm to monitor available disk space on all EC2 instances Add the alarm as a safety control to the Systems Manager Automation task.

Create an AWS Lambda function to periodically check for sufficient available disk space on all EC2 instances by evaluating each EC2 instance ' s respective Amazon CloudWatch log stream.

Create an SNS topic and subscribe the DevOps lead via email. Create an AWS Config managed rule with CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources and set SNS as target.

Tag all CloudFormation resources, create a custom AWS Config rule via SDK that flags manual changes as NON_COMPLIANT, create an EventBridge rule and Lambda to send email notifications.

Create an SNS topic, subscribe the DevOps lead, create a Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on COMPLIANT resources, set SNS as target.

Create an AWS Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources, and a Lambda to send email notifications.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Application Load Balancer and an Auto Scaling group for the Redis cache.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create a Network Load Balancer and an Auto Scaling group in a single Availability Zone for the Redis cache.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Amazon ElastiCache (Redis OSS) cluster for the cache. Create a target group that has a DNS target type that contains the ElastiCache (Redis OSS) cluster hostname.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create an Amazon ElastiCache (Redis OSS) cluster for the cache.

Enable AWS Control Tower in the management account. Configure AWS Control Tower Account Factory customization to deploy the required IAM roles and policies to all accounts.

Activate trusted access for AWS CloudFormation StackSets in Organizations. In the management account, create a stack set that has service-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In each member account, create IAM roles that have permissions to create and manage resources. In the management account, create an AWS CloudFormation stack set that has self-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In the management account, create an AWS CodePipeline pipeline. Configure the pipeline to use AWS CloudFormation to automate the deployment of the required IAM roles and policies. Set up cross-account IAM roles to allow CodePipeline to deploy resources in the member accounts.

Use AWS Cloud Formation StackSets to deploy an AWS Network Firewall firewall to each account. Route all outbound requests from the AWS environment through the firewall. Deploy a policy to block access to all outbound requests on port 80.

Use AWS CloudFormation StackSets to deploy an AWS Network Firewall firewall to each account. Route all inbound requests to the AWS environment through the firewall. Deploy a policy to block access to all inbound requests on port 80.

Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.

Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-buckot-ssl-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the s3:x-amz-server-side-encryption-aws-kms-key-id condition key is null.

Create an SCP in the management account of the organization to restrict Amazon S3 actions by using the aws:PrincipalAccount condition. Apply the SCP to the OU.

Create an IAM permissions boundary in the management account of the organization to restrict access to Amazon S3 actions by using the aws:PrincipalOrgID condition.

Configure AWS Resource Access Manager (AWS RAM) to restrict access to S3 buckets in the OU so the S3 buckets cannot be shared outside the organization.

Create a resource control policy (RCP) in the management account of the organization to restrict Amazon S3 actions by using the aws:PrincipalOrgID condition. Apply the RCP to the OU.

Use AWS CloudFormation StackSets to provision IAM policies in each account to deny access to restricted AWS services. In each account configure AWS Config rules that ensure that the policies are attached to IAM principals in the account.

Use AWS Control Tower to provision the accounts into OUs within the organization Configure AWS Control Tower to enable AWS IAM identity Center (AWS Single Sign-On). Configure 1AM Identity Center to provide administrative access Include deny policies on user roles for restricted AWS services.

Place all the accounts under a new top-level OU within the organization Create an SCP that denies access to restricted AWS services Attach the SCP to the OU.

Create an SCP that allows access to only approved AWS services. Attach the SCP to the root OU of the organization. Remove the FullAWSAccess SCP from the root OU of the organization.

Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.

Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.

Configure image replication for each image from the image ' s pre-scan repository to the image ' s post-scan repository.

Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.

Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.

Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.

Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.

Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.

Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.

Enable Amazon CloudWatch Logs to log the EKS components. Create a CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon CloudWatch Logs to log the EKS components. Create CloudWatch Logs Insights queries linked to Amazon EventBridge events that invoke Lambda.

Enable Amazon S3 logging for the EKS components. Configure an Amazon CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon S3 logging for the EKS components. Configure S3 PUT Object event notifications with AWS Lambda as the destination.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.

Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Create an OpenSearch cluster and subscription filter to send logs; create OpenSearch dashboard with queries for success.

Create a CloudWatch subscription filter with Lambda to parse logs and publish custom metrics; create CloudWatch dashboard with metric graph.

Create a CloudWatch metric filter on the log group with a pattern matching success; create CloudWatch dashboard with metric graph.

Create a Kinesis data stream subscribed to the log group; filter logs by success; send to Lambda; Lambda publishes custom metrics; dashboard uses metric graph.

Upload the application as a Docker image that contains all the necessary software to Amazon ECR Create an Amazon ECS cluster using an AWS Fargate launch type and an Auto Scaling group. Create an AWS CodePipeline pipeline that uses Amazon ECR as a source and Amazon ECS as a deployment provider

Upload the application code to an AWS CodeCommit repository with a saved configuration file to configure and install the software Create an AWS Elastic Beanstalk web server tier and a load balanced-type environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider

Upload the application code to an AWS CodeCommit repository with a set of ebextensions files to configure and install the software. Create an AWS Elastic Beanstalk worker tier environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider

Upload the application code to an AWS CodeCommit repository with an appspec.yml file to configure and install the necessary software. Create an AWS CodeDeploy deployment group associated with an Amazon EC2 Auto Scaling group Create an AWS CodePipeline pipeline that uses CodeCommit as a source and CodeDeploy as a deployment provider

Enable AWS CloudTrail for control plane logging. Deploy Logstash as a ReplicaSet on the nodes to collect logs from the nodes. Use Amazon OpenSearch to store and analyze the logs for the control plane and the nodes.

Enable control plane logging for the EKS cluster. Send the logs to Amazon CloudWatch. Use CloudWatch Container Insights to collect logs for the nodes and the containers. Use CloudWatch Logs Insights to query and analyze the logs for the control plane and the nodes.

Enable API server control plane logging for the EKS cluster. Send the logs to Amazon S3. Deploy Kubernetes Event Exporter to the nodes to collect logs from the nodes. Send the logs to Amazon S3. Use Amazon Athena to query logs for the control plane and the nodes. Use Amazon QuickSight for visualization.

Use AWS Distro for OpenTelemetry to collect logs for the control plane and the nodes. Stream all the logs to Amazon Data Firehose. Use Amazon Redshift to analyze the aggregated log data for the control plane and the nodes.

For each project, create one IAM role for developers and one IAM role for database administrators. Tag the IAM roles with the corresponding projects and job functions.

Modify the pre-existing IAM policies to include a StringEquals condition that compares the ResourceTag for projects with the PrincipalTag value. Attach the modified policies to the IAM roles for each job function.

Create an IAM policy that allows users to assume a role only when the ResourceTag values match the PrincipalTag values for project tags and job function tags. Attach the new policy to all IAM users.

Create an IAM policy that allows users to assume a role only when the ResourceTag values match the PrincipalTag values for project tags and job function tags. Attach the new policy to the IAM roles for each job function.

Tag the pre-existing IAM policies with the appropriate projects and job functions. Attach the modified policies to IAM roles for each job function.

For each project, create one IAM group for developers and one IAM group for database administrators. Add the appropriate users to each group so the users can assume their respective IAM roles.

Create an AWS CloudFormation template that defines an AWS Inspector rule to check whether EBS encryption is enabled. Save the template to an Amazon S3 bucket that has been shared with all accounts within the company. Update the account creation script pointing to the CloudFormation template in Amazon S3.

Create an AWS Config organizational rule to check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP to prohibit stopping and deleting AWS Config across the organization.

Create an SCP in Organizations. Set the policy to prevent the launch of Amazon EC2 instances without encryption on the EBS volumes using a conditional expression. Apply the SCP to all AWS accounts. Use Amazon Athena to analyze the AWS CloudTrail output, looking for events that deny an ec2: RunInstances action.

Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage in AWS Lambda to assume the IAM role, and list all EBS volumes in the account. Publish a report to Amazon S3.

Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.

Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.

Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.

Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.

Enable Amazon S3 server access logging. Load the access logs into an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns.

Enable Amazon S3 server access logging. Use Amazon Athena to create an external table that contains the access logs. Run SQL queries on the Athena table to analyze the user access patterns.

Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns.

Record a log message in Amazon CloudWatch Logs for every S3 object access event. Configure a log stream in CloudWatch Logs to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Managed Service for Apache Flink application. Perform a sliding window analysis on the user access patterns.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.

For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

Add an additional secondary cluster to the global database.

Enable write forwarding for the global database.

Remove one of the secondary clusters from the global database.

Configure synchronous replication for the global database.

Use AWS Service Catalog with AWS Control Tower. Create portfolios and products in AWS Service Catalog. Grant granular permissions to provision these resources. Deploy SCPs by using the AWS CLI and JSON documents.

Deploy CloudFormation stack sets by using the required templates. Enable automatic deployment. Deploy stack instances to the required accounts. Deploy a CloudFormation stack set to the organization’s management account to deploy SCPs.

Create an Amazon EventBridge rule to detect the CreateManagedAccount event. Configure AWS Service Catalog as the target to deploy resources to any new accounts. Deploy SCPs by using the AWS CLI and JSON documents.

Deploy the Customizations for AWS Control Tower (CfCT) solution. Use an AWS CodeCommit repository as the source. In the repository, create a custom package that includes the CloudFormation templates and the SCP JSON documents.

Check the returned response for the Versioned Compare the returned Versioned against the MD5 checksum.

Include the MD5 checksum within the Content-MD5 parameter. Check the operation call ' s return status to find out if an error was returned.

Include the checksum digest within the tagging parameter as a URL query parameter.

Check the returned response for the ETag. Compare the returned ETag against the MD5 checksum.

Include the checksum digest within the Metadata parameter as a name-value pair After upload use the S3 HeadObject operation to retrieve metadata from the object.

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.

Configure a CloudWatch Logs subscription fitter to stream all logs to an S3 bucket.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.

Delegate AWS Firewall Manager to a security account.

Delegate Amazon GuardDuty to a security account.

Create an AWS Firewall Manager policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Create an Amazon GuardDuty policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Configure an AWS Config managed rule to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Configure AWS Config to publish logs to an Amazon S3 bucket Use Amazon Athena to query the logs and send a notification to the security team when the administrator role is assumed

Configure Amazon GuardDuty to monitor when the administrator role is assumed and send a notification to the security team

Create an Amazon EventBridge event rule using an AWS Management Console sign-in events event pattern that publishes a message to an Amazon SNS topic if the administrator role is assumed

Create an Amazon EventBridge events rule using an AWS API call that uses an AWS CloudTrail event pattern to invoke an AWS Lambda function that publishes a message to an Amazon SNS topic if the administrator role is assumed.

Configure the Lambda function to be invoked by the SNS topic. Create an AWS CloudTrail subscription for the SNS topic. Configure a subscription filter for security group modification events.

Create an Amazon EventBridge scheduled rule to invoke the Lambda function. Define a schedule pattern that runs the Lambda function every hour.

Create an Amazon EventBridge event rule that has the default event bus as the source. Define the rule’s event pattern to match EC2 security group creation and modification events. Configure the rule to invoke the Lambda function.

Create an Amazon EventBridge custom event bus that subscribes to events from all AWS services. Configure the Lambda function to be invoked by the custom event bus.

Create a CloudFormation custom resource that invokes an AWS Lambda function. Configure the Lambda function to conditionally enable GuardDuty if GuardDuty is not already enabled in the accounts.

Use the Conditions section of the CloudFormation template to enable GuardDuty in accounts where GuardDuty is not already enabled.

Use the CloudFormation Fn. GetAtt intrinsic function to check whether GuardDuty is already enabled If GuardDuty is not already enabled use the Resources section of the CloudFormation template to enable GuardDuty.

Manually discover the list of AWS account IDs where GuardDuty is not enabled Use the CloudFormation Fn: ImportValue intrinsic function to import the list of account IDs into the CloudFormation template to skip deployment for the listed AWS accounts.

Configure CloudWatch dashboards using default EKS service metrics.

Configure AWS CloudTrail for the EKS cluster.

Configure CloudTrail Insights for the EKS cluster.

Configure Amazon CloudWatch Container Insights for the EKS cluster by enabling the CloudWatch Observability add-on.

Start a rolling restart to the Auto Scaling group tor the green environment to deploy the new software on the green environment ' s EC2 instances When the rolling restart is complete, use an AWS CLI command to update the ALB to send traffic to the green environment ' s target group.

Use an AWS CLI command to update the ALB to send traffic to the green environment ' s target group. Then start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment ' s EC2 instances.

Update the launch template to deploy the green environment ' s software on the blue environment ' s EC2 instances Keep the target groups and Auto Scaling groups unchanged in both environments Perform a rolling restart of the blue environment ' s EC2 instances.

Start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment ' s EC2 instances When the rolling restart is complete, update the Route 53 DNS to point to the green environments endpoint on the ALB.

Modify the post_build command to use --acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.

Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.

Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal “*”.

Modify the post_build command to remove --acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.

Implement Amazon CloudWatch Logs for CodePipeline and CodeDeploy create an AWS Config rule to evaluate code deployment issues, and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.

Implement Amazon EventBridge for CodePipeline and CodeDeploy create an AWS Lambda function to evaluate code deployment issues, and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.

Implement AWS CloudTrail to record CodePipeline and CodeDeploy API call information create an AWS Lambda function to evaluate code deployment issues and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.

Implement Amazon EventBridge for CodePipeline and CodeDeploy create an Amazon. Inspector assessment target to evaluate code deployment issues and create an Amazon Simple. Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.

Replace the RDS Multi-AZ DB instance with an Amazon DynamoDB table.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination of the Lambda function.

Configure an Amazon Simple Queue Service (Amazon SQS > dead-letter queue for the SNS topic.

Subscribe an Amazon Simple Queue Service (Amazon SQS) queue to the SNS topic Configure the Lambda function to process messages from the SQS queue.

Replace the SNS topic with an Amazon EventBridge event bus Configure an EventBridge rule on the new event bus to invoke the Lambda function for each event.

Configure the CloudFormation infrastructure as code (IaC) generator to scan for existing resources in the AWS account. Create a CloudFormation template that includes the scanned resources. Import the CloudFormation template into a new CloudFormation stack.

Configure AWS Config to scan for existing resources in the AWS account. Create a CloudFormation template that includes the scanned resources. Import the CloudFormation template into a new CloudFormation stack.

Use CodeConnections to establish a connection between the Git provider and AWS CodePipeline. Push the CloudFormation template to the Git repository. Run a pipeline in CodePipeline that deploys the CloudFormation stack for every merge into the Git repository.

Use CodeConnections to establish a connection between the Git provider and CloudFormation. Push the CloudFormation template to the Git repository. Sync the Git repository with the CloudFormation stack.

Create an IAM role, and set CloudFormation as the principal. Grant the IAM role access to manage the stack resources. Create an SCP that denies all actions to all the principals except by the IAM role. Link the SCP with the production OU.

Create an IAM role, and set CloudFormation as the principal. Grant the IAM role access to manage the stack resources. Create an SCP that allows all actions to only the IAM role. Link the SCP with the production OU.

Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.

Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project lo run the unit tests. Configure the project to use AWS CLI commands to create a new Git tag in the repository if the code passes the unit tests.

Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Configure AWS 1AM Identity Center. Configure an IdP. Upload the IdP metadata from the existing IdP.

Create an 1AM IdP by using the provider URL, audience, and signature from the existing IdP.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role ' s trust policy to allow the OIDC IdP to assume the role if the sts.amazon.conraud context key is appid from idp.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role ' s trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp.

Configure the web application lo use the AssumeRoleWith Web Identity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls.

Configure the web application to use the GetFederationToken API operation to retrieve temporary credentials Use the temporary credentials to make the S3 API calls.

Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.

Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.

Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLIANT tor the restricted-ssh rule. Configure an input transformer for the EventBridge rule Configure the EventBridge rule to publish a notification to the SNS topic.

Configure AWS Config to send all evaluation results for the restricted-ssh rule to the SNS topic. Configure a filter policy on the SNS topic to send only notifications that contain the text of NON_COMPLIANT in the notification to subscribers.

Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLlANT for the restricted-ssh rule Configure the EventBridge rule to invoke AWS Systems Manager Run Command on the SNS topic to customize a notification and to publish the notification to the SNS topic

Create an Amazon EventBridge rule that matches all AWS Config evaluation results of NON_COMPLIANT Configure an input transformer for the restricted-ssh rule Configure the EventBridge rule to publish a notification to the SNS topic.