Amazon DBS-C01 Exam (page: 9)
Amazon AWS Certified Database - Specialty
Updated on: 25-Dec-2025

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A company has an Amazon RDS Multi-AZ DB instances that is 200 GB in size with an RPO of 6 hours. To meet the company’s disaster recovery policies, the database backup needs to be copied into another Region. The company requires the solution to be cost-effective and operationally efficient.

What should a Database Specialist do to copy the database backup into a different Region?

  1. Use Amazon RDS automated snapshots and use AWS Lambda to copy the snapshot into another Region
  2. Use Amazon RDS automated snapshots every 6 hours and use Amazon S3 cross-Region replication to copy the snapshot into another Region
  3. Create an AWS Lambda function to take an Amazon RDS snapshot every 6 hours and use a second Lambda function to copy the snapshot into another Region
  4. Create a cross-Region read replica for Amazon RDS in another Region and take an automated snapshot of the read replica

Answer(s): C


Reference:

https://aws.amazon.com/blogs/database/implementing-a-disaster-recovery-strategy-with-amazon-rds/



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?

  1. Increase the size of the DB instance storage
  2. Change the underlying EBS storage type to General Purpose SSD (gp2)
  3. Disable EBS optimization on the DB instance
  4. Change the DB instance to an instance class with a higher maximum bandwidth

Answer(s): D



After restoring an Amazon RDS snapshot from 3 days ago, a company’s Development team cannot connect to the restored RDS DB instance.
What is the likely cause of this problem?

  1. The restored DB instance does not have Enhanced Monitoring enabled
  2. The production DB instance is using a custom parameter group
  3. The restored DB instance is using the default security group
  4. The production DB instance is using a custom option group

Answer(s): C



A gaming company has implemented a leaderboard in AWS using a Sorted Set data structure within Amazon ElastiCache for Redis. The ElastiCache cluster has been deployed with cluster mode disabled and has a replication group deployed with two additional replicas. The company is planning for a worldwide gaming event and is anticipating a higher write load than what the current cluster can handle.

Which method should a Database Specialist use to scale the ElastiCache cluster ahead of the upcoming event?

  1. Enable cluster mode on the existing ElastiCache cluster and configure separate shards for the Sorted Set across all nodes in the cluster.
  2. Increase the size of the ElastiCache cluster nodes to a larger instance size.
  3. Create an additional ElastiCache cluster and load-balance traffic between the two clusters.
  4. Use the EXPIRE command and set a higher time to live (TTL) after each call to increment a given key.

Answer(s): B

Explanation:


Reference:

https://aws.amazon.com/blogs/database/work-with-cluster-mode-on-amazon-elasticache-for-redis/



An ecommerce company has tasked a Database Specialist with creating a reporting dashboard that visualizes critical business metrics that will be pulled from the core production database running on Amazon Aurora. Data that is read by the dashboard should be available within 100 milliseconds of an update.
The Database Specialist needs to review the current configuration of the Aurora DB cluster and develop a cost-effective solution. The solution needs to accommodate the unpredictable read workload from the reporting dashboard without any impact on the write availability and performance of the DB cluster.

Which solution meets these requirements?

  1. Turn on the serverless option in the DB cluster so it can automatically scale based on demand.
  2. Provision a clone of the existing DB cluster for the new Application team.
  3. Create a separate DB cluster for the new workload, refresh from the source DB cluster, and set up ongoing replication using AWS DMS change data capture (CDC).
  4. Add an automatic scaling policy to the DB cluster to add Aurora Replicas to the cluster based on CPU consumption.

Answer(s): D



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Mungara 3/14/2023 12:10:00 AM

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