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DOP-C02 Practice Question 36: X-Ray Trace Map Latency

AWS Certified DevOps Engineer – Professional (DOP-C02) · Test 4 · question 6 of 10

Monitoring and Loggingmedium

An application is built from Amazon API Gateway, an AWS Lambda function, two internal services running on Amazon ECS, and an Amazon DynamoDB table. Users report that a small fraction of checkout requests take more than five seconds, while most complete in under 300 milliseconds. The p99 latency alarm on API Gateway fires, but each service's own CloudWatch latency metrics look normal because the slow requests are averaged away. The team needs to see, for an individual slow request, which hop in the call chain consumed the time.

What should the team do?

Select one answer
Show answer and explanation

Answer:

  • C. Enable AWS X-Ray tracing on API Gateway and the Lambda function, instrument both ECS services with the X-Ray SDK, then use the trace map's response time distribution to filter to the slow traces and inspect the segments for each hop

X-Ray correlates the segments of one request across every service it touches, which is what "which hop was slow on *this* request" requires. The documentation describes the map's purpose as "identify services where errors are occurring, connections with high latency, or traces for requests that were unsuccessful", showing "service nodes that serve requests, upstream client nodes... and downstream service nodes." You can "use the response distribution histogram to filter traces by duration" and then open the matching traces, so the slow tail can be isolated instead of being averaged into the rest, and the timeline shows which segment consumed the time.

Option A looks at resource utilization, not request attribution. Container metrics can hint that a service is under pressure, but they cannot tell you that a particular checkout spent four seconds waiting on one downstream call.

Option B makes the problem worse. Summing per-component durations aggregates across all requests, so the slow tail stays buried exactly as it is today, and metric math has no notion of a single request's path through the system.

Option D averages again, and averages per log group. Even a per-request duration in each log group cannot be joined across services without a shared trace identifier, which is the thing X-Ray provides.

Reference: Using the X-Ray trace map

Practice Test 4 ›

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