Monitor and Troubleshoot Azure Solutions AI-200 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   When integrating OpenTelemetry into an Azure-hosted application, what is the first step to enable tracing?

   • AConfigure a log analytics workspace query pack
   • BAdd the OpenTelemetry SDK and instrumentation libraries to the application
   • CDeploy an Azure Application Gateway to route trace data
   • DCreate an Azure Monitor workspace to store the traces
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2. 17foundation · easy

   In a distributed system using OpenTelemetry, what is the primary mechanism for correlating spans across multiple services?

   • AUsing the same service name for all services
   • BStoring all spans in a single log file
   • CPropagating a unique trace ID and span ID in the request headers
   • DUsing a shared timestamp across all services
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4. 18expert · hard

   A financial services company has a distributed application with OpenTelemetry tracing enabled. They are seeing a high number of errors in the 'Payment Service' span, but the service itself reports no exceptions. You suspect that the errors are caused by timeouts from a downstream dependency. You need to confirm this hypothesis using the trace data. What should you do?

   • AUse KQL to query the Payment Service logs for any exception messages, even though the service reports no exceptions.
   • BExamine the span attributes of the Payment Service span for fields like 'error' or 'status.code' and look for child spans that show timeout or connection errors.
   • CIncrease the sampling rate for the Payment Service to capture more traces and then re-examine the data.
   • DCheck the Application Insights 'Failures' blade to see if the Payment Service has any failed requests.
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5. 19expert · hard

   An e-commerce platform uses a distributed system with a front-end web app, an order API, and a legacy inventory service that does not support any tracing headers. Users report that checkout requests sometimes take over 10 seconds. You have OpenTelemetry tracing enabled for the web app and the order API, and traces show that most of the time is spent in an outbound call to the inventory service, but no span details are available for that call. You need to identify whether the delay is caused by network latency, the inventory service processing time, or a queue backlog. What should you do?

   • AUse KQL to query the order API's logs for the duration of the outbound HTTP call and compare it to the inventory service's CPU metrics.
   • BInstrument the inventory service with the OpenTelemetry SDK to emit its own spans, and propagate the trace context from the order API.
   • CAdd a custom span around the outbound call in the order API that records the response time, and then use that span to infer the inventory service's processing time.
   • DEnable network monitoring on the virtual network to capture packet-level latency between the order API and the inventory service.
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6. 20foundation · easy

   Which KQL function is used to calculate the average value of a numeric column?

   • Amax()
   • Bcount()
   • Csum()
   • Davg()
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