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Azure Monitoring & Diagnostics Flashcards

6 cards from real AZ-200 practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 6 Azure Monitoring & Diagnostics flashcards as text
  1. What is the purpose of Application Insights Smart Detection?

    Answer: Proactively detecting anomalies in failure rates and performance using machine learning

    Smart Detection uses machine learning to automatically detect unusual patterns in failure rates, response times, and memory leaks, alerting without manual threshold configuration.

  2. How do you correlate logs from multiple Azure services in a single Log Analytics workspace query?

    Answer: Use KQL join or union operators across multiple tables in the same workspace

    KQL's join and union operators allow queries across multiple log tables in the same Log Analytics workspace, enabling cross-service correlation.

  3. What is the correct way to instrument an Azure Function with Application Insights?

    Answer: Set the APPINSIGHTS_INSTRUMENTATIONKEY or APPLICATIONINSIGHTS_CONNECTION_STRING app setting and the SDK auto-instruments

    Setting the APPLICATIONINSIGHTS_CONNECTION_STRING (or instrumentation key) app setting causes Azure Functions to automatically instrument and send telemetry to Application Insights.

  4. What is the purpose of the Azure Monitor Workbooks feature?

    Answer: Creating interactive, shareable dashboards that combine metrics, logs, and visualizations

    Azure Monitor Workbooks provide interactive, parameterized dashboards combining metrics, KQL log queries, and visualizations that can be shared across teams.

  5. What does the Application Insights dependency tracking feature monitor?

    Answer: Outgoing calls from the app to external services like SQL, HTTP APIs, and storage

    Dependency tracking captures outgoing calls from an application to external services like databases, HTTP APIs, and Azure Storage, including duration and success status.

  6. Which Azure Monitor alert type evaluates a KQL query against Log Analytics data and fires when results meet a threshold?

    Answer: Log search alert

    Log search alerts run a KQL query on a schedule against Log Analytics data and trigger when the number of results or a metric computed from results exceeds a threshold.