Crucial Exams

AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question

A company hosts a MySQL 5.7 database on Amazon RDS. Most queries are reads, and unpredictable marketing campaigns cause brief 10-fold read-traffic spikes several times per month. Management wants the database layer to scale automatically for these events and release capacity afterward to control cost. They must avoid application changes and keep write latency unchanged. What is the MOST cost-effective solution?

  • Convert the RDS instance to a Multi-AZ deployment to automatically provision additional compute capacity during traffic spikes.

  • Enable Amazon RDS storage autoscaling on the existing MySQL instance and set the maximum storage size to cover peak demand.

  • Launch multiple MySQL read replicas behind an RDS Proxy during campaigns and manually delete the replicas when traffic subsides.

  • Migrate the database to Amazon Aurora MySQL and configure Aurora Auto Scaling to add or remove Aurora Replicas in the cluster based on average CPU utilization.

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