How to Ensure All Services Appear in AWS X-Ray Service Map?
A developer is building a microservices-based application by using Python on AWS and several AWS services. The developer must use AWS X-Ray. The developer views the service map by using the console to view the service dependencies. During testing, the developer notices that some services are missing from the service map. What can the developer do to ensure that all services appear in the X-Ray service map?
Community Votes
100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The exam tests that X-Ray service maps are built exclusively from telemetry sent by instrumented applications; the common trap is assuming missing services are caused by sampling rates or console settings rather than the absence of SDK instrumentation.
To ensure every microservice appears in the AWS X-Ray service map, you must instrument each service with the X-Ray SDK—the community consensus is that proper instrumentation is the critical step. Missing services almost always indicate a lack of instrumentation, not sampling or timeout misconfiguration.
Choosing A (increase sampling rate) or D (increase timeout) is a common mistake because testers think missing services are due to a console display issue. In reality, no amount of sampling or timeout adjustment will show a service that never sends trace data to X-Ray.
Community Discussion (4 comments)
Comments & Corrections
No comments yet — spotted an error or have a note? Share it below.
Expert Analysis
Why the Answer Is Correct
AWS X-Ray's service map is generated from trace segments and subsegments sent by applications instrumented with the X-Ray SDK (or other supported agents). If a microservice is not instrumented, it cannot send any telemetry, so it will never appear in the map. The question explicitly asks for a Python-based application, and Option B—instrumenting all services with the X-Ray SDK for Python—directly addresses the root cause. Community comments (e.g., the one with 7 likes) reinforce that the SDK must be used within the application to capture and send necessary telemetry data.Why the Other Options Are Wrong
Option A (increasing the sampling rate) only affects how much of the already-generated trace data is sent; it does not create telemetry for services that are not instrumented. Option C (enabling X-Ray data aggregation in CloudWatch Logs) confuses X-Ray with CloudWatch Logs; X-Ray does not aggregate data through CloudWatch Logs for service map generation. Option D (increasing the connector map timeout) is a console setting that does not influence whether a service sends trace data. Each incorrect answer addresses a tuning or display parameter, but none fixes missing instrumentation.Community Comment Notes
The community overwhelmingly voted for B (100% of votes). One comment with 7 likes simply states "Instrument the application by using the X-Ray SDK for Python," matching the correct answer. Another detailed comment explains that each component must be properly instrumented to send data to X-Ray. These comments align with AWS documentation and reinforce that the service map is a visualization of actual trace data received from instrumented services.Official Reference
Exam Strategy
When you see a question about services missing from an X-Ray service map, immediately suspect a lack of instrumentation on those services. Do not get distracted by sampling rates, timeouts, or CloudWatch integration; the X-Ray service map is only as complete as the telemetry that instrumented applications send.
Related Analysis
Practice All DVA-C02 Questions
Access 100 questions with complete answers and detailed explanations.
View Full DVA-C02 Practice Test →