AZ-400 Practice Exam Questions with Answers Microsoft Azure DevOps Solutions Certification

Woodgrove Bank plans to implement the following changes to the DevOps environment:

Migrate all the source code from TFS1 to GitHub.

The Git-TFS tool is a two-way bridge between Team Foundation Version Control and Git, and can be used to perform a migration.

Woodgrove Bank identifies the following technical requirements:

The Azure DevOps dashboard must display the metrics shown in the following table:

Box 1: Velocity

Velocity displays your team velocity. It shows what your team delivered as compared to plan.

Box 2: Release pipeline overview

Release pipeline overview shows the status of environments in a release definition.

Box 3: Query tile

Query tile displays the total number of results from a query.

Scenario: Access to Azure DevOps mustbe restricted to specific IP addresses.

Azure DevOps is authenticated through Azure Active Directory. You can use Azure AD's conditional access to prevent logins from certain geographies and address ranges.

Scenario: Deploy App2 to an Azure virtual machine named VM1.

A personal access token (PAT) is used as an alternatepassword to authenticate into Azure DevOps.

Denies non HTTPS traffic.

ENABLE DIAGNOSTICS TO LOG ANALYTICS

This configuration is done PER DATABASE

1. Click on Diagnostics Settings and then Turn On Diagnostics

2. Select to Send to Log Analytics and select the Log Analytics workspace. For this sample I will selected only Errors

GitHub App uses the Azure Pipelines identity.

To connect Azure Boards to GitHub.com, connect and configure from Azure Boards. Or, alternatively, install andconfigure the Azure Boards app from GitHub. Both methods have been streamlined and support authenticating and operating via the app rather than an individual.

Note (see step 4 below):

Add a GitHub connection:

Sign into Azure Boards.

Choose (1) Project Settings, choose (2) GitHub connections and then (3) Connect your GitHub account.

If this is your first time connecting to GitHub from Azure Boards, you will be asked to sign in using your GitHub credentials. Choose an account for which you are an administrator for the repositories you want to connect to.

The Add GitHub Repositories dialog automatically displays and selects all GitHub.com repositories for which you are an administrator. Unselect any repositories that you don't want to participate in the integration.

Instead use implement continuous integration.

Note: WhiteSource is the leader incontinuous open source software security and compliance management. WhiteSource integrates into your build process, irrespective of your programming languages, build tools, or development environments. It works automatically, continuously, and silently inthe background, checking the security, licensing, and quality of youropen source components against WhiteSource constantly-updated de?nitive database of open source repositories.

Instead you should deploy an Azure self-hosted agent to an on-premises server.

Note: To build your code or deploy your software using Azure Pipelines, you need at least one agent.

If your on-premises environments do nothave connectivity to a Microsoft-hosted agent pool (which is typically the case due to intermediate firewalls), you'll need to manually configure a self-hosted agent on on-premises computer(s).

Deployment Mode

Location specified in the Linked artifact variable

Visual Studio Code spaces is built to accommodate the widest variety of projects or tasks, including GitHub and integrating debugging.

Visual Studio Code spaces conceptually and technically extends the Visual Studio Code Remote Developmentextensions.

In addition to "backend" environments, Visual Studio Code spaces supports these "frontend" editors:

Visual Studio Code

Visual Studio Code-based editor in the browser

Box 1: Lead time

Lead time measures the total time elapsed from the creation of work items to their completion.

Box 2: Cycle time

Cycle time measures the time it takes for your team to complete work items once they begin actively working on them.

Box 3: Burn down

Burn down charts focus on remaining workwithin a specific time period.

By creating a feed view named "release" and setting it as the default view, packages that are published to the feed will not be immediately available for consumption. After the 9pm packages are tested successfully,you can configure a release pipeline that promotes a package to the @release view. This ensures that only tested packages are available for consumption and minimizes development effort as it doesn't require any additional steps to be taken by the consumerof the feed.

Smart Detection automatically warns you of potential performance problems and failure anomalies in your web application. It performs proactive analysis of the telemetry that yourapp sends to Application Insights. If there is a sudden rise in failure rates, or abnormal patterns in client or server performance, you get an alert.

The defect escape rate is a metric that assesses the collective quality of software releases by evaluating how oftenerrors are discovered and rectified in the pre-production process versus during production.

The defect escape rate is a KPI (Key Performance Indicator) that measures how many defects are found in released code versus how many are found during development.This KPI can help you to compare how much time is spent troubleshooting issues found during development versus how much time is spent troubleshooting issues found in released code. The higher the defect escape rate, the more defects are found in releasedcode, and thus more time is spent troubleshooting issues in released code.

Unattended config:

The agent can be set up from a script with no human intervention. You must pass--unattended and the answers to all questions.

To configure an agent, it must know the URL to your organization or collection and credentials of someone authorized to set up agents. All other responses are optional.

Batching CI runs

If you have many team members uploadingchanges often, you may want to reduce the number of runs you start. If you set batch to true, when a pipeline is running, the system waits until the run is completed, then starts another run with all changes that have not yet been built.

Example:

# specific branch build with batching

trigger:

batch: true

branches:

include:

- master

To clarify this example, let us say that a push A to master caused the above pipeline to run. While that pipeline is running, additional pushes B and C occur into therepository. These updates do not start new independent runs immediately. But after the first run is completed, all pushes until that point of time are batched together and a new run is started.

Scenario: By default, all releases must remain available for 30 days, except for production releases, which must be kept for 60 days.

Box 1: Set the defaultretention policy to 30 days

The Global default retention policy sets the default retention values for all the build pipelines. Authors of build pipelines can override these values.

Box 2: Set the stage retention policy to 60 days

You may want to retain more releases that have been deployed to specific stages.

Every request made against a storage service must be authorized, unless the request is for a blob or container resource that has been made available for public or signed access. One option for authorizing a request is by using Shared Key.

Scenario: The mobile applications must be able to call the share pricing service of the existing retirement fund management system. Until the system is upgraded, the service will only support basic authentication over HTTPS.

The investment planning applications suite will include one multi-tier web application and two iOS mobile application. One mobile application will be used by employees; the other will be used by customers.

The "Exploratory Testing" extension is now "Test & Feedback" and is now Generally Available.

Anyone can now test web appsand give feedback, all directly from the browser on any platform: Windows, Mac, or Linux. Available for Google Chrome and Mozilla Firefox (required version 50.0 or above) currently. Support for Microsoft Edge is in the pipeline and will be enabled once Edge moves to a Chromium-compatible web platform.

Every request made against a storage service must be authorized, unless the request is for a blob or container resource that has been made available for public or signed access. One option for authorizing a request is by using Shared Key.

Scenario: The mobile applications must be able to call the share pricing service of the existing retirement fund management system. Until the system is upgraded, the service will only support basic authentication over HTTPS.

The investment planning applications suite will include one multi-tier web application and two iOS mobile application. One mobile application will be used by employees; the other will be used by customers.

Box 1: Reader

Members of a group named Developers must be able to install packages.

Feeds have four levels of access: Owners, Contributors, Collaborators, and Readers. Ownerscan add any type of identity-individuals, teams, and groups-to any access level.

Box 2: Owner

Members of a group named Team Leaders must be able to create new packages and edit the permissions of package feeds.

Change the ConfigurationMode parameter from ApplyOnly to ApplyAndAutocorrect.

The Register-AzureRmAutomationDscNode cmdlet registers an Azure virtual machine as an APS Desired State Configuration (DSC) node in an Azure Automation account.

Scenario: Current Technical Issue

The test servers are configured correctly when first deployed, but they experience configuration drift over time. Azure AutomationState Configuration fails to correct the configurations.

Azure Automation State Configuration nodes are registered by using the following command.

1. Open Microsoft Azure Portal

2. Log into your Azure account, select App Services in the Azure portal left navigation, and then select configureaz400-9940427-func1.

3. On the app page, select Deployment Center in the left menu.

4. On the Build provider page, select Azure Pipelines (Preview), and then select Continue.

5. On the Configure page, in the Code section:

For GitHub, drop down and select the Organization, Repository, and Branch you want to deploy continuously.

6. Select Continue.

7. On the Test page, choose whether to enable load tests, and then select Continue.

8. Depending on your App Service plan pricing tier, you may see a Deployto staging page. Choose whether to enable deployment slots, and then select Continue.

9. After you configure the build provider, review the settings on the Summary page, and then select Finish.

Step1: Create a New Team Dashboard

Navigate to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Select Your Project:

Choose Project1 from your list of projects.

Access Dashboards:

In the left-hand menu, select Dashboards.

Create a New Dashboard:

Click on New Dashboard.

Enter the name Dashboard1.

Ensure the dashboard type is set to Team Dashboard.

Click Create.

Step 2: Add the Team Members Widget

Open the Widget Catalog:

After creating the dashboard, thewidget catalog will open automatically. If it doesn’t, click on Add Widget.

Search for Team Members Widget:

In the widget catalog, search for Team Members.

Add the Widget:

Click on the Team Members widget and then click Add to place it on your dashboard.

Configure the Widget:

Once added, you can resize and move the widget to your preferred location on the dashboard.

Step 3: Save and Share the Dashboard

Save the Dashboard:

Click on Save to save your changes.

Share the Dashboard:

You can share the dashboardURL with your team members or set permissions to control who can view or edit the dashboard.

By following these steps, you will have a new team dashboard named Dashboard1 that displays the members of the default project team for Project1

Scenario: A branching strategy that supports developing newfunctionality in isolation must be used.

Feature isolation is a special derivation of the development isolation, allowing you to branch one or more feature branches from main, as shown, or from your dev branches.

When you need to work on a particularfeature, it might be a good idea to create a feature branch.

Box 1: A source control system

A source control system, also called a version control system, allows developers to collaborate on code and track changes.Source control is an essential tool for multi-developer projects.

Box 2: A hosted service

To build and deploy Xcode apps or Xamarin.iOS projects, you'll need at least one macOS agent. If your pipelines are in Azure Pipelines and a Microsoft-hosted agentmeets your needs, you can skip setting up a self-hosted macOS agent.

Scenario: The investment planning applications suite will include one multi-tier web application and two iOS mobile applications. One mobile application will be used by employees; the other will be used by customers.

Box 1: Get-AzResource

Use the followingcommand to examine the access control mode for all workspaces in the subscription:

PowerShell

Get-Az Resource –Resource Type Microsoft. Operational Insights/workspaces –Expand Properties | for each {s.Name + ": " + $_.Properties.features.enableLogAccessUsingOnlyResourcePermissions

Box 2: -Resource Type

Step 1: Navigate to Personal Access Tokens

Sign in to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Access User Settings:

Click on your profile picture in the top right corner.

Select User settings.

Open Personal Access Tokens:

In the user settings menu, select Personalaccess tokens.

Step 2: Create a New Personal Access Token

Create a New Token:

Click on + New Token.

Configure the Token:

Name: Enter Token1.

Organization: Select the organization where you want to use the token.

Expiration: Set the expiration to 60 days.

Set Scopes:

Code: Select Read, Write, & Manage.

Build: Select Read & Execute.

Release: Select Read.

Create the Token:

Click on Create.

Step 3: Save the Token

Copy the Token:

Once the token is created, copy it immediately as it will not be displayed again.

Store the token in a secure location.

By following these steps, you will have successfully created a personal access token named Token1 with the specified capabilities and a 60-day expiration

1.Go to the Azure portal, navigate to Traffic Manager profiles and click on the Add button to create a routing profile.

2. In the Create Traffic Manager profile, enter, or select these settings:

Name: az40011566895n1-tm

Routing method: Geographic

Resource group: RG1lod11566895

Note: Traffic Manager profiles can be configured to use the Geographic routing method so that users are directed to specific endpoints (Azure, External or Nested) based on which geographic location their DNS query originates from. This empowers Traffic Manager customers to enable scenarios where knowing a user’s geographic region and routing them based on that is important.

To ensure that your Azure Web App namedaz400-38443478-mainsupports rolling upgrades and only 10 percent of users connect to the updated version of the app, you can use deployment slots with the followingsteps:

Create a Deployment Slot:

Navigate to the Azure Portal.

Go to your Web Appaz400-38443478-main.

SelectDeployment slotsin the menu.

Click onAdd Slot.

Name the slot (e.g.,staging) and if needed, clone settings from the production slot.

Configure the Traffic Percentage:

In the Deployment Slots menu, you will see a column forTraffic %.

Set the traffic percentage to10%for thestagingslot1.

This will route only 10% of the traffic to the updated version of the app in thestagingslot.

Deploy the Updated App to the Staging Slot:

Deploy yourupdated application to thestagingslot.

Test the application in thestagingslot to ensure it’s working as expected.

Complete the Rolling Upgrade:

Once you’re satisfied with the performance and stability of the app in thestagingslot, you can graduallyincrease the percentage of traffic until you’re ready to swap with the production slot.

To swap slots, go to theDeployment slotsmenu and click onSwapwith the production slot.

By using deployment slots, you can achieve rolling upgrades with minimal administrative effort, as it allows you to test the new version on a subset of users before fully releasing it. Remember to adjust the traffic percentage and monitor the application’s performance throughout the process.

Task 8: Create a Service Hook to Integrate with Azure Storage (queue1)

Step 1: Verify the Storage Account and Queue

In the Azure portal (https://portal.azure.com ):

Go to Storage accounts.

Find the storage48901628 storage account.

In the left menu, click on Queues.

Ensure that a queue named queue1 exists.If not, create it by:

Clicking + Queue.

Enter Name: queue1.

Click OK.

Step 2: Prepare the Storage Account’s Shared Access Signature (SAS)

Azure DevOps uses SAS tokens to send messages to a storage queue.

In the Azure portal, go to the storage48901628 storage account.

In the left menu, click Shared access signature.

Set the following:

Allowed services: Queue.

Allowed resource types: Object.

Allowed permissions: Add, Write.

Start and expiry date/time: Adjust as needed (e.g., 1 year).

Click Generate SAS and connection string.

Copy the Queue SAS URL (e.g., https://storage48901628.queue.core.windows.net/queue1?sv=...).

Step 3: Create the Service Hook in Azure DevOps

In your Azure DevOps Project (Project1):

In the bottom-left, click Project settings.

In the left menu, click Service hooks.

Click + Create subscription.

Step 4: Configure the Azure Storage Service Hook

In the Create a subscription wizard, choose Azure Storage Queues and click Next.

Choose the Trigger:

For example: Code pushed (or other events you want to send to the queue).

Click Next.

Configure the Action:

Queue endpoint URL: The Queue SAS URL you copied in Step 2 (including the queue1 endpoint and SAS token).

Example:

bash

Copy

https://storage48901628.queue.core.windows.net/queue1?sv=...

Step 5: Finalize and Test the Integration

Click Test to ensure Azure DevOps can send a message to the queue.

If the test succeeds, click Finish to create the service hook.

Step 6: Validate in the Azure Portal

In the Azure portal, go to storage48901628 > Queues > queue1.

You should see new messages appear in the queue whenever the configured Azure DevOps event (like push or PR) occurs.

The commit-msg hook is invoked by git-commit and git-merge, and can be bypassed with the --no-verify option.

Box 1: rwx

The Log Analytics agent for Linux runs as the omsagent user. To grant >write permission to the omsagent user, run the command setfacl -m u:omsagent:rwx /tmp.

Box 2: /tmp

Deploying DSC to a Linux node uses the /tmp folder.

Scenario: Visual Studio App Center must be used to centralize the reporting of mobile application crashes and device types in use.

In order to use App Center, you need to opt in to the service(s) that you want to use, meaning by default no services are started and you will have to explicitly call each of them when starting the SDK.

Insert the following line to start the SDK in your app's App Delete class in the didFinishLaunchingWithOptions method.

MSAppCenter.start("{Your App Secret}", withServices: [MSAnalytics.self, MSCrashes.self])

Step 1: Log in to the Azure Portal

Go to https://portal.azure.com .

Log in with your Azure account.

Step 2: Create an Azure App Configuration Instance

In the search bar at the top, type “App Configuration” and select App Configuration from the search results.

Click + Create.

Fill in the required fields:

Subscription: Your Azure subscription.

Resource Group: Create a new one or select an existing one.

Name: Provide a globally unique name (for example, myappconfig-instance).

Location: Choose a region close to your application.

Click Review + Create, then Create.

The instance will take a few seconds to deploy.

Step 3: Access the App Configuration Instance

Once the deployment is complete, click Go to resource.

You are now in the App Configuration resource.

Step 4: Enable Feature Management

In the left menu, click on Feature Manager (Preview).

Click + Add to create a new feature flag.

Step 5: Create the Feature Flag

Provide the following details:

Feature flag name: feature1

Label: (optional)

Description: (optional)

State: Set to Enabled.

Click on the Add filters link if you want to add targeting filters (optional).

Click Save to create the feature flag.

Step 6: Set the Expiration Date for the Feature Flag

In the Feature Manager list, find the newly created feature1 flag.

Click on the three dots (context menu) next to feature1 and select Edit.

In the Edit feature pane, look for the Expiration date setting.If there is no direct UI for expiration date, you can store it as a custom key-value (metadata).

Here’s how to store expiration as metadata:

In the App Configuration left menu, click on Configuration Explorer.

Locate the key: .appconfig.featureflag/feature1.

Click on the key to edit.

Add a new label or add a custom key in the Content type or tags section to store expiration metadata:

Key: expiration

Value: yyyy-MM-dd (set to today + 7 days)

For example, if today is June 4, 2025, set the expiration as 2025-06-11.

Step 1: To create a general-purpose v2 storage account in the Azure portal, follow these steps:

On the Azure portal menu, select All services. In the list of resources,type Storage Accounts. As you begin typing, the list filters based on your input. Select Storage Accounts.

On the Storage Accounts window that appears, choose Add.

Select the subscription in which to create the storage account.

Under the Resource group field, select RG1lod11566895

Next, enter a name for your storage account named: az400lod11566895stor

Select Create.

Step 2: Enable boot diagnostics on existing virtual machine

To enable Boot diagnostics on an existing virtual machine, follow these steps:

1.Sign in to the Azure portal, and then select the virtual machine VM1.

2. In the Support + troubleshooting section, select Boot diagnostics, then select the Settings tab.

3. In Boot diagnostics settings, change the status to On, and from the Storage account drop-down list, select the storage account az400lod11566895stor.

4. Save the change.

You must restart the virtual machine for the change to take effect.

Enable Remote Debugging

Before we start a debugging session to our Azure Function app we need to enable the functionality.

Navigate in the Azure portal to your function app fa-11566895

Go to the “Application settings”

Under “Debugging” set Remote Debugging to On and set Remote Visual Studio version to 2017.

Step 1: Initialize the Default Main Branch

Navigate to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Select Your Project:

Choose Project1 from your list of projects.

Initialize the Main Branch:

Goto Repos > Files.

If the main branch does not exist, you will see an option to initialize it. Click on Initialize and follow the prompts to create the main branch1.

Step 2: Enable Squash Merge for the Main Branch

Navigate to Branch Policies:

Go to Repos > Branches.

Find the main branch and click on the … (ellipsis) next to it.

Select Branch policies.

Enable Squash Merge:

Under Policies, scroll down to the Merge strategy section.

Select Squash merge as the required mergestrategy2.

Save Changes:

Click on Save changes to apply the policies.

Step 3: Verify the Squash Merge Policy

Create a Pull Request:

Make achange in a branch and create a pull request to merge it into the main branch.

Complete the Pull Request:

Ensure that the pull request uses thesquash merge strategy by selecting Squash commit under the Merge type in the Complete pull request dialog

anation:

1. In the Azure portal, navigate to the az400-9940427-main app's management page. In the app's left menu, click Configuration > Application settings.

2. Click New Application settings

3. Enter the following:

Name: MAX_ITEMS

Value: 50

Step 1: Navigate to Project Settings

Navigate to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Select Your Project:

Choose Project1 from your list of projects.

Access Project Settings:

In the left-hand menu, scroll down and select Project settings.

Step 2: Configure Retention Policies

Navigate to Pipelines Settings:

Under Pipelines, select Settings.

Set Retention Policies:

In the Retention section, set the number of days to keep artifacts, symbols, and attachments to 60 days.

Ensurethat the retention policy is applied to all relevant pipelines and branches.

Save Changes:

Click on Save to apply the retention policy1.

By following these steps, you will have successfully configured theretention policy to retain artifacts, symbols, and attachments for 60 days in Project1

To enable streaming of diagnostic telemetry for a single or a pooled database, follow these steps:

1. Go to Azure SQL database resource.

2. Select Diagnostics settings.

3.Select Turn on diagnostics if no previous settings exist, or select Edit setting to edit a previous setting. You can create up to three parallel connections to stream diagnostic telemetry.

4. Select Add diagnostic setting to configure parallel streaming ofdiagnostics data to multiple resources.

5. Enter a setting name for your own reference.

6. Select a destination resource for the streaming diagnostics data: Archive to storage account, Stream to an event hub, or Send to Log Analytics.

7. For the standard, event-based monitoring experience, select the following check boxes for database diagnostics log telemetry: QueryStoreRuntimeStatistics

8. For an advanced, one-minute-based monitoring experience, select the check box for Basic metrics.

9. SelectSave.

Step 1: To create a general-purpose v2 storage account in the Azure portal, follow these steps:

On the Azure portal menu, select All services. In the list of resources, type Storage Accounts. As you begin typing, the list filters based on your input. Select Storage Accounts.

On the Storage Accounts window that appears, choose Add.

Select the subscription in which to create thestorage account.

Under the Resource group field, select RG1lod11566895

Next, enter a name for your storage account named: az400lod11566895stor

Select Create.

Step 2: Enable boot diagnostics on existing virtual machine

To enable Boot diagnostics on an existing virtual machine, follow these steps:

Sign in to the Azure portal, and then select the virtual machine VM1.

In the Support + troubleshooting section, select Boot diagnostics, then select the Settings tab.

In Boot diagnostics settings, change the statusto On, and from the Storage account drop-down list, select the storage account az400lod11566895stor.

Save the change.

You must restart the virtual machine for the change to take effect.

You can usea system-assigned managed identity for a Windows virtual machine (VM) to access Azure Key Vault.

Sign in to Azure portal

Locate virtual machine VM1.

Select Identity

Enable the system-assigned identity for VM1 by setting the Status to On.

Note:Enabling a system-assigned managed identity is a one-click experience. You can either enable it during the creation of a VM or in the properties of an existing VM.

To store signed images in an Azure Container Registry (ACR) instance and support your planned images while minimizing costs, you need to modify the SKU of your ACR instance to one that supports content trust and image signing. Here’s how you can do it:

Determine the Appropriate SKU:

Content trust and image signing are features of thePremiumservice tier of Azure ContainerRegistry1.

If cost minimization is a priority, ensure that the Premium tier is necessary for your use case. If you require content trust, the Premium tier is the appropriate choice.

Modify the SKU of the ACR Instance:

Navigate to the Azure Portal.

Go to your ACR instanceaz40038443478act1.

SelectUpdatefrom the overview pane.

Choose thePremiumSKU from the SKU drop-down menu2.

Review the changes and pricing, then save the configuration.

By upgrading to the Premium SKU, you’ll be able to store signed images in your ACR instance. Remember to monitor your usage and costs to ensure they align with your budget and requirements.

Task 6: Create a Service Connection for Resource Group Deployment using Managed Identity and Workload Identity Federation

Step 1: Understand the Requirements

You want to deploy resources in the RGHod489Q1628 resource group.

The service connection must:

Use the ManagedJd1 managed identity.

Use workload identity federation (OIDC-based authentication for enhanced security).

Step 2: Verify Prerequisites

You need to ensure:

The ManagedJd1 managed identity exists in your Azure subscription.

Your Azure DevOps project (Project1) is linked to an Azure Active Directory tenant (for OIDC support).

You have the Owner or User Access Administrator role on the RGHod489Q1628 resource group.

Step 3: Assign Role to Managed Identity

Go to the Azure Portal.

In the search bar, type Managed Identities and select Managed Identities.

Locate and click on the ManagedJd1 identity.

In the left menu, click Azure role assignments.

Click + Add role assignment.

Set the following:

Scope: Resource Group

Subscription: Your subscription

Resource Group: RGHod489Q1628

Role: Contributor (or appropriate role)

Click Save.

This step ensures ManagedJd1 has permissions to deploy resources to RGHod489Q1628.

Step 4: Create a Federated Credential for Workload Identity Federation

In the Azure Portal, navigate to the ManagedJd1 managed identity.

In the left menu, click Workload identity federation (preview).

Click + Add a federated credential.

Configure as follows:

Federated credential name: devops-oidc

Issuer: https://vstoken.actions.githubusercontent.com (or use the default https://pipelines.actions.githubusercontent.com for Azure DevOps)

Subject identifier: Use the following format for Azure DevOps:

css

Copy

system:azuredevops:{organizationName}:{projectName}

For example:

css

Copy

system:azuredevops:{YourOrganizationName}:{Project1}

Audience: api://AzureADTokenExchange

Click Add.

This federated credential establishes trust between your Azure DevOps project and the managed identity.

Step 5: Create a Service Connection in Azure DevOps

Go to your Azure DevOps project (Project1) in the browser.

In the left menu, click Project settings.

Under Pipelines, click Service connections.

Click New service connection.

Choose Azure Resource Manager.

Choose the authentication method:

Select Workload identity federation.

Configure the service connection:

Scope level: Resource Group.

Resource Group: RGHod489Q1628.

Subscription: Your subscription.

Authentication method: Managed Identity with workload identity federation.

Managed Identity: Enter the client ID or select ManagedJd1.

Service connection name: e.g., Project1-RGHod489Q1628-Conn.

Grant access permission to all pipelines (recommended).

Click Save.

Step 6: Validate the Service Connection

After creation, click on the new service connection to Verify it.

Ensure the connection test is successful.

You can now use this service connection in your pipelines for deploying resources to RGHod489Q1628.

Add a slot

1. In the Azure portal, search for and select App Services and select your app az400-11566895-main.

2. In the left pane, select Deployment slots > Add Slot.

3. In the Add a slot dialog box, give the slot a name, and select whether to clone an app configuration from another deployment slot. Select Add to continue.

4. After the slot is added, select Close to close the dialog box. The new slot is now shown on the Deployment slots page.

Step 1: Access Azure DevOps

Open your browser and navigate to https://aex.dev.azure.com .

You will be prompted to sign in. Enter the following credentials:

Username: UserUser1-48901628@cxamUsers.com

Password: aFpJ2j-6M!

Click Next or Sign in to proceed.

Note: If you see any Microsoft security challenge (like phone or email verification), follow the instructions to complete it.

Step 2: Sign Up for Azure DevOps

After signing in, you’ll see a prompt to sign up for Azure DevOps.

Use the default settings provided by Azure DevOps for the sign-up process (region, default name, etc.).

Click Continue or Start free with Azure DevOps.

An Azure DevOps Organization is a container for your projects and resources. Default settings are usually fine for new organizations.

Step 3: Create the Organization

Enter a name for your organization. Azure DevOps will suggest a default name (like yourname or org-name), but you can change it if you prefer.

Verify the region is correct.

Click Continue to create the organization.

Your Azure DevOps organization is now created. It’s the top-level container for all your projects.

Step 4: Create a Private Project Named Project1

In your Azure DevOps portal, find the "New Project" button and click it.

Enter the following details:

Project Name: Project1

Description: (optional)

Visibility: Private

Click Create.

A private project means that only users you add can see or access it. This is important for security and privacy.

Step 5: Enforce Maximum File Size for Repositories

By default, Azure DevOps allows files up to 100 MB to be pushed. To ensure the maximum file size for repositories in Project1 is 2 MB, you can enforce this using a pipeline validation.

Azure DevOps does not provide a direct setting for file size limits. However, you can create a pipeline to validate file size on pull requests and block changes if a file exceeds 2 MB.

Here’s how to do it:

Option 1: Enforce with a pipeline validation for pull requests

In your Project1, create a new pipeline.

Use the following YAML for the pipeline:

yaml

Copy

trigger: none

pr:

branches:

include:

- "*"

jobs:

- job: CheckFileSize

pool:

vmImage: 'ubuntu-latest'

steps:

- script: |

echo "Checking file sizes in the PR..."

git fetch origin +refs/pull/*/merge:refs/remotes/origin/pr/*

large_files=$(git diff --cached --name-only | xargs -I{} du -b {} | awk '$1 > 2097152 {print $2}')

if [ -n "$large_files" ]; then

echo "Error: The following files exceed 2 MB:"

echo "$large_files"

exit 1

fi

displayName: 'Check file sizes in PR'

This pipeline will:

Run on pull requests only.

Check the size of all files in the pull request.

If any file is larger than 2 MB (2,097,152 bytes), it will fail the pipeline and block the PR.

Option 2: Local Git configuration (for each developer)

On each developer’s machine, run this command in their local repository:

bash

Copy

git config --local core.bigFileThreshold 2M

This limits the file threshold for checkout, but does not prevent large files from being pushed. Using the pipeline validation (Option 1) is more secure for team environments.

Scenario:

Step 1: Sign in to Azure Develops by using an account that is assigned the Administrator service connection security role.

Note: Under Agent Phase, click Deploy Service Fabric Application. Click Docker Settings and then click Configure Docker settings. In Registry Credentials Source, select Azure Resource Manager Service Connection. Then select your Azure subscription.

Step 2: Create a personal access token..

A personal access token or PAT is required so that a machine can join the pool created with the Agent Pools (read, manage) scope.

Step 3: Install and register the Azure Pipelines agent on an Azure virtual machine.

By running a Azure Pipeline agent in thecluster, we make it possible to test any service, regardless of type.

Step 1: Sign Up for Azure DevOps

Navigate to Azure DevOps.

Click on Start Free.

Enter the credentials:

Email: UserUsefl-42147509@ExamUsers.com

Password: eWrSalD2!

Follow the prompts to complete the sign-up process using the default settings.

Step 2: Create an Azure DevOps Organization

Once signed in, you will be prompted to create a new organization.

Enter a name for your organization and select your region.

Click on Continue to create the organization.

Step 3: Create a Private Project

In your new organization, click on New Project.

Name the project Project1.

Set the visibility to Private.

Click on Create.

Step 4: Add an External User as a Stakeholder

Go to the Organization Settings.

Under General, select Users.

Click on Add users.

Enter the email address: Usfrr2-42147S09@ExamUsers.com.

Set the access level to Stakeholder.

Add the user to the most restrictive group, which is typically the Readers group.

Click on Add to complete the process.

Step 5: Verify the User Addition

Ensure that the external user has been added successfully by checking the Users list.

Confirm that the user has the Stakeholder access level and is part of the Readers group.

By following thesesteps, you should be able to complete the task successfully. If you encounter any issues, feel free to ask for further assistance!

Task 10: Create a Variable Group in Azure DevOps

Step 1: Navigate to Library

In your Azure DevOps Project (Project1), click on the Pipelines section in the left menu.

In the Pipelines submenu, click on Library.

Step 2: Create a New Variable Group

Click on the + Variable group button.

Enter the Name:

nginx

Copy

varGroup1

Step 3: Add Variables

Add the first variable:

Click Add.

In the Name field, enter:

nginx

Copy

username

In the Value field, enter:

Copy

Userl-48901628

Add the second variable:

Click Add again.

In the Name field, enter:

nginx

Copy

password

In the Value field, enter:

Copy

aFpJ2j+6M!

Check the box Keep this value secret.

Step 4: Save the Variable Group

Click Save at the top to save the variable group.

Step 1: Create an instance of Azure Application Insights

1. Open Microsoft Azure Portal

2. Log into your Azure account, Select Create a resource > Developer tools > Application Insights.

3. Enter the following settings, and then select Review + create.

Name: az400-9940427-main

Step 2: Configure App Insights SDK

4. Open your ASP.NET Core Web App project in Visual Studio > Right-click on the AppName in theSolution Explorer > Select Add > Application Insights Telemetry.

5. Click the Get Started button

6. Select your account and subscription > Select the Existing resource you created in the Azure portal > Click Register.

To create an instance of Azure Application Insights namedaz400-38443478-mainand configure it to receive telemetry data from an Azure web app with the same name, you’ll need to follow these steps:

Create a Log Analytics Workspace:

Go to theAzure Portal.

Search for Log Analytics Workspaces and select Add.

Select a Subscription and either use an existing Resource Group or create a new one.

Provide a unique name for your Log Analytics workspace.

Choose the Region that is appropriate for you.

Review the settings and then selectCreate1.

Create an Azure Application Insights Instance:

In the Azure Portal, navigate to Application Insights.

Click on + Create.

Fill in the instance details, ensuring the name isaz400-38443478-main.

Link the instance to the Log Analytics workspace you created in the previous step.

Review and create the Application Insights instance2.

Configure the Azure Web App to Send Telemetry Data:

Go to the Azure Web Appaz400-38443478-main.

Under Monitoring, selectApplication Insights.

Choose to use an existing resource and select the Application Insights instance you created.

Follow the prompts to set up the connection, which may involve adding the appropriate SDK to your web app and configuring the connection string or instrumentation key.

Verify Telemetry Data Reception:

After setting up, send some test traffic to your web app.

Then, go to the Application Insights instance and check the Overview or Performance sections to see if telemetry data is being received.

Remember to replace placeholder names with the actual names of your resources where necessary. These steps will help you set up Azure Application Insights to monitor your web app effectively.

Box 1: Azure Boards

Azure Boards can be used to track work with Kanban boards, backlogs, team dashboards, and custom reporting

You can create multiple Trello boards, which are spaces to store tasks (for different work contexts, or even private boards)

You can easily shareTrello boards with another person.

Box 2: Azure Pipelines

You can use Bamboo to implement CI/CD (Continuous Integration and Continuous Delivery) for a simple Azure function app using Atlassian Bamboo. Bamboo does continuous delivery of the project fromsource code to deployment. It has stages including Build, Test and Deploy.

Software teams in every industry are upgrading their continuous delivery pipeline with Bamboo. Easy build import from popular open source tools, user and group import from JIRA, seamless integration with Bitbucket, and native support for Git, Hg, and SVN means you'll be building and deploying like a champ.

Box 3: GitHub repositories

Bitbucket can be used as the Git repository, but you can use any other Git repository (Like TFS Git)for source control of the code.

Scenario:

Scenario: Implement Project3, Project5,Project6, and Project7 based on the planned changes

Step 1: Open the release pipeline editor.

In the Releases tab of Azure Pipelines, select your release pipeline and choose Edit to open the pipeline editor.

Step 2: Enable Gates.

Choose thepre-deployment conditions icon for the Production stage to open the conditions panel. Enable gates by using the switch control in the Gates section.

Step 3: Add Query Work items.

Choose + Add and select the Query Work Items gate.

Configure the gate by selecting an existing work item query.

Note: A case for release gate is:

Incident and issues management. Ensure the required status for work items, incidents, and issues. For example, ensure deployment occurs only if no priority zero bugs exist, and validation that there are no active incidents takes place after deployment.

Step 1: Create a Desired State Configuration (DSC) configuration file that has an extension of .ps1.

Step 2: Run the Import-AzureRmAutomationDscConfiguration Azure Powershell cmdlet

TheImport-AzureRmAutomationDscConfiguration cmdlet imports an APS Desired State Configuration (DSC) configuration into Azure Automation. Specify the path of an APS script that contains a single DSC configuration.

Example:

PS C:\>Import-AzureRmAutomationDscConfiguration -AutomationAccountName "Contoso17"-ResourceGroupName "ResourceGroup01" -SourcePath "C:\DSC\client.ps1" -Force

This command imports the DSC configuration in the file named client.ps1 into the Automation account named Contoso17. The command specifies the Force parameter. If there is an existing DSC configuration, this command replaces it.

Step 3: Run the Start-AzureRmAutomationDscCompilationJob Azure Powershell cmdlet

The Start-AzureRmAutomationDscCompilationJob cmdlet compiles an APS Desired State Configuration (DSC) configuration in Azure Automation.

Step 1: Createa repository

A Git repository, or repo, is a folder that you've told Git to help you track file changes in. You can have any number of repos on your computer, each stored in their own folder.

Step 2: Create a branch

Branch policies help teams protect their important branches of development. Policies enforce your team's code quality and change management standards.

Step 3: Add a build validation policy

When a build validation policy is enabled, a new build is queued when a new pull request is created or when changes are pushed to an existing pull request targeting this branch. The build policy then evaluates the results of the build to determine whether the pull request can be completed.

Scenario:

Implement a code flow strategy for Project2 that will:

Enable Team2 to submit pull requests for Project2.

Enable Team2 to work independently on changes to a copy of Project2.

Ensure that any intermediary changes performed by Team2 on a copy of Project2 will be subject to the same restrictions as the ones defined in the build policy of Project2.

Scenario: Implement Project4 and configure the project to push Docker images to Azure Container Registry.

You use Azure Container Registry Tasks commands to quickly build, push, and run a Docker container image natively within Azure, showing how to offload your "inner-loop" development cycle to the cloud. ACR Tasks is a suite of features within Azure Container Registry to help you manage and modify container images across the container lifecycle.

The Register-AzureRmAutomationDscNode cmdlet registers an Azure virtual machine as an APS Desired State Configuration (DSC) node in an Azure Automation account.

Scenario: The Azure DevOps organization includes:

The Docker extension

A deployment pool named Pool7 that contains10 Azure virtual machines that run Windows Server 2016

The first thing to do is to declare your Sonar Qube server as a service endpoint in your VSTS/DevOps project settings.