Free DBS-C01 Exam Braindumps

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



A company is using Amazon with Aurora Replicas for read-only workload scaling. A Database Specialist needs to split up two read-only applications so each application always connects to a dedicated replica. The Database Specialist wants to implement load balancing and high availability for the read-only applications.
Which solution meets these requirements?

  1. Use a specific instance endpoint for each replica and add the instance endpoint to each read-only application connection string.
  2. Use reader endpoints for both the read-only workload applications.
  3. Use a reader endpoint for one read-only application and use an instance endpoint for the other read-only application.
  4. Use custom endpoints for the two read-only applications.

Answer(s): D


Reference:

https://rimzy.net/category/amazon-rds/page/4/






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