Microsoft DevOps Engineer Expert AZ-400 Practice Question
Two Azure App Service APIs are instrumented with the latest Azure Monitor Application Insights SDK. You are investigating slow end-to-end latency for a customer call that begins in Service A and invokes Service B. In Log Analytics you need to join the requests and dependencies tables so that only telemetry that belongs to this single distributed trace is returned. Which Kusto column should you use as the join key?
Application Insights assigns the same value to the operation_Id column for every request, dependency, trace, and exception that belongs to one logical operation, even when the call crosses process or service boundaries. Joining on operation_Id therefore reconstructs the complete distributed trace. Columns such as cloud_RoleInstance, session_Id, or user_Id can vary within the same trace or are unrelated to correlation, so they do not guarantee an accurate end-to-end view.
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What is the purpose of the operation_Id column in Azure Monitor Application Insights?
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How does the operation_Id differ from the session_Id column?
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Why can't cloud_RoleInstance or user_Id be used to join requests and dependencies in Log Analytics?
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Microsoft DevOps Engineer Expert AZ-400
Implement an instrumentation strategy
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