AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question

A SaaS provider runs an Amazon Aurora MySQL provisioned cluster with one writer and two readers in a single Region. CPU utilization often reaches 85 percent during business hours but falls below 10 percent overnight. Leadership wants to lower operating costs while automatically adding or removing database compute capacity as load changes. Application connection strings must remain unchanged. Which solution best meets these requirements?

  • Migrate to Amazon RDS for MySQL on Graviton2 instances and use an AWS Lambda function to change the instance class on a daily schedule.

  • Deploy MySQL on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer.

  • Enable Auto Scaling for Aurora read replicas and direct the application to reader endpoints during peak demand.

  • Convert the cluster to Amazon Aurora Serverless v2 so it can scale automatically between Aurora Capacity Units while retaining the cluster endpoint.

AWS Certified CloudOps Engineer Associate SOA-C03
Reliability and Business Continuity
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