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  • Exam Name: AWS Certified Database - Specialty
  • Last Update: 28-Mar-2023
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DBS-C01 Questions and Answers

Question # 1

A retail company with its main office in New York and another office in Tokyo plans to build a database solution on AWS. The company’s main workload consists of a mission-critical application that updates its application data in a data store. The team at the Tokyo office is building dashboards with complex analytical queries using the application data. The dashboards will be used to make buying decisions, so they need to have access to the application data in less than 1 second.

Which solution meets these requirements?

A.

Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the ap- northeast-1 Region. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to cache application data from the replica to generate the dashboards.

B.

Use an Amazon DynamoDB global table in the us-east-1 Region with replication into the ap-northeast-1 Region. Use Amazon QuickSight for displaying dashboard results.

C.

Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read replica instance in the ap-northeast-1 Region. Have the dashboard application read from the read replica.

D.

Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the replica in the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1 Region.

Question # 2

An Amazon RDS EBS-optimized instance with Provisioned IOPS (PIOPS) storage is using less than half of its allocated IOPS over the course of several hours under constant load. The RDS instance exhibits multi-second read and write latency, and uses all of its maximum bandwidth for read throughput, yet the instance uses less than half of its CPU and RAM resources.

What should a Database Specialist do in this situation to increase performance and return latency to sub- second levels?

A.

Increase the size of the DB instance storage

B.

Change the underlying EBS storage type to General Purpose SSD (gp2)

C.

Disable EBS optimization on the DB instance

D.

Change the DB instance to an instance class with a higher maximum bandwidth

Question # 3

A Database Specialist is designing a new database infrastructure for a ride hailing application. The application data includes a ride tracking system that stores GPS coordinates for all rides. Real-time statistics and metadata lookups must be performed with high throughput and microsecond latency. The database should be fault tolerant with minimal operational overhead and development effort.

Which solution meets these requirements in the MOST efficient way?

A.

Use Amazon RDS for MySQL as the database and use Amazon ElastiCache

B.

Use Amazon DynamoDB as the database and use DynamoDB Accelerator

C.

Use Amazon Aurora MySQL as the database and use Aurora’s buffer cache

D.

Use Amazon DynamoDB as the database and use Amazon API Gateway

Question # 4

A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run.

Which action will improve query performance with the LEAST operational effort?

A.

Migrate the database to a new Amazon Redshift data warehouse.

B.

Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on.

C.

Take a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable parallel query mode.

D.

Add an Aurora read replica.

Question # 5

A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company’s network bandwidth is available.

How should the company perform this data load?

A.

Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

B.

Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

C.

Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

D.

Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

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