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AZ-204 Practice Question: Distributed tracing correlation across App…
This AZ-204 practice question tests your understanding of distributed tracing correlation across app…. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: distributed tracing. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Three microservices collaborate on a single user transaction: an App Service API, an Azure Function that processes a Service Bus message, and a downstream storage service. Traces appear separately in Application Insights with no parent-child relationship. What is needed to correlate all three into a single end-to-end trace?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Use the same Application Insights instrumentation key for all three services — no additional configuration is needed
Sharing an instrumentation key sends all telemetry to the same resource but does not automatically correlate traces. Without header propagation, each service generates its own independent operation IDs, so the calls appear unrelated even in the same Application Insights resource.
B
Distractor review
Add a custom x-correlation-id header in each service and log it with TelemetryClient.TrackEvent
A custom header logged as a custom event produces correlated log entries but does not integrate with Application Insights' built-in distributed tracing model. The Application Map, end-to-end transaction view, and dependency diagrams require the SDK's native W3C correlation, not custom event logging.
C
Distractor review
Enable Azure Monitor cross-resource queries and write a KQL join across all three services' logs
KQL cross-resource joins can correlate log data after the fact but do not create live distributed trace relationships. This approach requires manual query authoring for every investigation and does not produce the automatic visual correlation that W3C Trace Context provides.
D
Best answer
Install the Application Insights SDK on all three services and ensure W3C Trace Context header propagation is enabled for both HTTP calls and Service Bus messages
The SDK propagates the traceparent header on outgoing HTTP requests automatically. For Service Bus, the SDK injects and reads correlation properties in the message's ApplicationProperties collection. With the same operation ID flowing through all three services, Application Insights assembles the calls into a single end-to-end trace in the Application Map and end-to-end transaction view.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- distributed tracing
- W3C Trace Context
- Application Insights correlation
- cross-service request tracing
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
distributed tracing
Related practice questions
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Question 2
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Question 3
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Question 4
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Question 5
You are developing an Azure Function that processes messages from an Azure Service Bus queue. The function uses a Service Bus queue trigger and runs on a Consumption Plan. The queue receives a high volume of messages in bursts. You need to ensure that the function scales out to handle the load but does not exceed 10 concurrent instances. Which configuration should you apply?
Question 6
You are monitoring an Azure App Service using Application Insights. You notice that the server response time is high for certain requests. You need to drill down to see which external dependencies (like databases or APIs) are causing the delay. Which Application Insights feature should you use?
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FAQ
Questions learners often ask
What does this AZ-204 question test?
distributed tracing
What is the correct answer to this question?
The correct answer is: Install the Application Insights SDK on all three services and ensure W3C Trace Context header propagation is enabled for both HTTP calls and Service Bus messages — Application Insights uses W3C Trace Context headers (traceparent, tracestate) to propagate correlation identifiers across service boundaries. When each service has the Application Insights SDK installed and W3C correlation is enabled, the SDK automatically reads the incoming traceparent header and sets the same trace ID on outgoing requests. Service Bus message properties also carry correlation headers when the Azure Service Bus SDK and Application Insights SDK are both configured correctly.
What should I do if I get this AZ-204 question wrong?
Review distributed tracing, then practise related AZ-204 questions on the same topic to reinforce the concept.
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