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Amazon DBS-C01 Exam Questions
AWS Certified Database - Specialty (Page 8 )

Updated On: 10-Mar-2026
Page 8 of 67
PDF with 359 Questions

A global digital advertising company captures browsing metadata to contextually display relevant images, pages, and links to targeted users. A single page load can generate multiple events that need to be stored individually. The maximum size of an event is 200 KB and the average size is 10 KB. Each page load must query the user’s browsing history to provide targeting recommendations. The advertising company expects over 1 billion page visits per day from users in the United States, Europe, Hong Kong, and India. The structure of the metadata varies depending on the event. Additionally, the browsing metadata must be written and read with very low latency to ensure a good viewing experience for the users.

Which database solution meets these requirements?

  1. Amazon DocumentDB
  2. Amazon RDS Multi-AZ deployment
  3. Amazon DynamoDB global table
  4. Amazon Aurora Global Database

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GlobalTables.html



A Database Specialist modified an existing parameter group currently associated with a production Amazon RDS for SQL Server Multi-AZ DB instance. The change is associated with a static parameter type, which controls the number of user connections allowed on the most critical RDS SQL Server DB instance for the company. This change has been approved for a specific maintenance window to help minimize the impact on users.

How should the Database Specialist apply the parameter group change for the DB instance?

  1. Select the option to apply the change immediately
  2. Allow the preconfigured RDS maintenance window for the given DB instance to control when the change is applied
  3. Apply the change manually by rebooting the DB instance during the approved maintenance window
  4. Reboot the secondary Multi-AZ DB instance

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Troubleshooting.html



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?

  1. Use Amazon RDS for MySQL as the database and use Amazon ElastiCache
  2. Use Amazon DynamoDB as the database and use DynamoDB Accelerator
  3. Use Amazon Aurora MySQL as the database and use Aurora’s buffer cache
  4. Use Amazon DynamoDB as the database and use Amazon API Gateway

Answer(s): B


Reference:

https://aws.amazon.com/solutions/case-studies/lyft/



A company is using an Amazon Aurora PostgreSQL DB cluster with an xlarge primary instance master and two large Aurora Replicas for high availability and read-only workload scaling. A failover event occurs and application performance is poor for several minutes. During this time, application servers in all Availability Zones are healthy and responding normally.

What should the company do to eliminate this application performance issue?

  1. Configure both of the Aurora Replicas to the same instance class as the primary DB instance. Enable cache coherence on the DB cluster, set the primary DB instance failover priority to tier-0, and assign a failover priority of tier-1 to the replicas.
  2. Deploy an AWS Lambda function that calls the Describe DBInstances action to establish which instance has failed, and then use the Promote Read Replica operation to promote one Aurora Replica to be the primary DB instance. Configure an Amazon RDS event subscription to send a notification to an Amazon SNS topic to which the Lambda function is subscribed.
  3. Configure one Aurora Replica to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and one replica with the same instance class. Set the failover priority to tier-1 for the other replicas.
  4. Configure both Aurora Replicas to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and to tier-1 for the replicas.

Answer(s): C



A company has a database monitoring solution that uses Amazon CloudWatch for its Amazon RDS for SQL Server environment. The cause of a recent spike in CPU utilization was not determined using the standard metrics that were collected. The CPU spike caused the application to perform poorly, impacting users. A Database Specialist needs to determine what caused the CPU spike.
Which combination of steps should be taken to provide more visibility into the processes and queries running during an increase in CPU load? (Choose two.)

  1. Enable Amazon CloudWatch Events and view the incoming T-SQL statements causing the CPU to spike.
  2. Enable Enhanced Monitoring metrics to view CPU utilization at the RDS SQL Server DB instance level.
  3. Implement a caching layer to help with repeated queries on the RDS SQL Server DB instance.
  4. Use Amazon QuickSight to view the SQL statement being run.
  5. Enable Amazon RDS Performance Insights to view the database load and filter the load by waits, SQL statements, hosts, or users.

Answer(s): B,E



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