Crucial Exams

AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question

An operations team manages a stateless REST API that runs on an Auto Scaling group of EC2 instances behind an ALB. CloudWatch shows prolonged CPU spikes above 80%, causing request latency. The team wants an automated remediation that rapidly adds capacity during spikes, removes it when demand subsides, and minimizes the effort needed to maintain scaling thresholds over time. Which solution best meets these requirements?

  • Implement a target tracking scaling policy that maintains an average CPU utilization of 50% for the Auto Scaling group.

  • Enable predictive scaling using the built-in forecast of the CPUUtilization metric for the Auto Scaling group.

  • Create scheduled scaling actions to double the instance count during known peak hours and return to the current capacity afterward.

  • Configure step scaling policies with CloudWatch alarms to add two instances when average CPU exceeds 80% for 10 minutes and remove one instance when CPU falls below 40% for 15 minutes.

AWS Certified CloudOps Engineer Associate SOA-C03
Monitoring, Logging, Analysis, Remediation, and Performance Optimization
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