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.
Amazon CloudWatch ServiceLens natively combines CloudWatch metrics and logs with AWS X-Ray traces, producing an integrated dashboard and interactive service map that surfaces high-latency or error-prone dependencies without external tooling. Enabling active X-Ray tracing for the Application Load Balancer and the ECS tasks supplies the trace data; ServiceLens automatically correlates it with existing CloudWatch telemetry, so only minimal configuration changes are required and no extra license fees apply.
CloudWatch Contributor Insights focuses on top-N contributors in log data but does not gather distributed traces or build a service map. RDS Performance Insights is limited to database performance and cannot correlate full request paths across services. Amazon DevOps Guru provides ML-based anomaly detection but is designed for operational insights, not interactive correlation of metrics, logs, and traces, and it does not supply the real-time service map requested.
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AWS Certified Solutions Architect Professional SAP-C02
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