Module Assessment

1.

Your AI application uses Application Insights with sampling enabled. You need to query the exceptions table to get an accurate count of total exceptions over the last 24 hours. Which KQL aggregation approach produces accurate results when sampling is active?

sum(itemCount)

count()

dcount(type)

2.

A developer needs to trace the full chain of events from a single user request as it flows through four services in a document processing pipeline. Which Application Insights column links all telemetry items from that single distributed request?

cloud_RoleName

operation_Id

customDimensions

3.

During an incident, a team member confirms elevated error rates on a dashboard and needs to investigate the root cause by dynamically filtering telemetry by service, time window, and error type. Which Azure Monitor tool is designed for this interactive investigation?

Azure dashboards

Azure Monitor metric alerts

Azure Monitor Workbooks

4.

A developer creates a log search alert with a KQL query that counts failed requests per service and returns rows only for services exceeding ten failures. The threshold is set to greater than zero table rows. What behavior does this configuration produce?

The alert fires whenever any service has more than 10 failures in the evaluation window.

The alert fires once for each individual failed request detected in the evaluation window.

The alert fires only when all monitored services have more than 10 failures simultaneously.

5.

A developer monitors an AI pipeline where average response times remain within acceptable limits, but users report occasional slow responses. Which KQL function reveals the response time experienced by the slowest five percent of requests?

avg()

percentile(duration, 95)

max(duration)

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