AWS Certified Solutions Architect Professional SAP-C02 Practice Question

A company runs dozens of containerized microservices on Amazon ECS with AWS Fargate behind an Application Load Balancer. End-user requests sometimes experience brief latency spikes, and the operations team cannot easily link those spikes to a specific downstream dependency. Management asks for an AWS-native observability solution that presents a single dashboard correlating application latency, error rate, and request volume with the underlying infrastructure metrics; automatically builds a visual service map that highlights slow or failing calls; requires little or no additional code changes beyond enabling tracing; and involves no third-party licensing. Which approach meets these requirements with the LEAST effort?

  • Enable active AWS X-Ray tracing for the microservices and Application Load Balancer, then use Amazon CloudWatch ServiceLens to visualize correlated metrics, logs, and traces in a single service map.

  • Enable Amazon DevOps Guru for all related CloudFormation stacks so the service can surface anomalies and recommended fixes.

  • Turn on Amazon RDS Performance Insights for all databases and export its dashboard to CloudWatch, adding alarms for latency spikes.

  • Create CloudWatch Contributor Insights rules for each microservice and build a CloudWatch dashboard from the generated metrics.

AWS Certified Solutions Architect Professional SAP-C02
Design for New Solutions
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot