AWS Certified Solutions Architect Professional SAP-C02 Practice Question

A global travel-booking company runs its REST booking service on Amazon EKS behind an Application Load Balancer (ALB). Management has introduced a new performance objective: "95 % of booking requests must complete within 200 ms." The operations team already receives average CPUUtilization and request-count alarms from Amazon CloudWatch, but the new objective has not been instrumented. You must implement an alert that notifies the team whenever the service falls out of compliance while requiring least development effort.

Which approach most directly translates the business requirement into measurable metrics and alarms?

  • Enable AWS X-Ray tracing at a 100 % sampling rate for the EKS cluster and configure an alarm on the X-Ray ServiceAverageLatency metric when average latency exceeds 0.2 s.

  • Instrument the booking service to publish a custom BookingLatency metric via the CloudWatch Embedded Metric Format, then build a metric-math expression that calculates p95 and alarms when it exceeds 0.2 s.

  • Create a CloudWatch alarm on the ALB TargetResponseTime metric using the p95 statistic and a 0.2-second threshold for the booking target group.

  • Create a target-tracking Auto Scaling policy that scales the number of ALB-attached pods when ALB RequestCountPerTarget surpasses 1 000 requests per minute to keep latency below 200 ms.

AWS Certified Solutions Architect Professional SAP-C02
Continuous Improvement for Existing Solutions
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