Practice Test GeeksAZ-200 - Microsoft Azure Developer Practice Test
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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 — missed cards come back until you master them.

Read the first 6 Azure Monitoring & Diagnostics flashcards as text

  1. Which Azure service provides application performance monitoring including request rates, failure rates, and dependency tracking?

    Answer: Azure Application Insights

    Azure Application Insights provides end-to-end application performance monitoring, including live metrics, distributed tracing, dependency maps, and failure analysis.

  2. What is the Application Insights connection string used for?

    Answer: Configuring the SDK to send telemetry to the correct Application Insights resource

    The Application Insights connection string (or instrumentation key) tells the SDK which Application Insights resource to send telemetry data to.

  3. Which Application Insights feature allows you to trace a single user request across multiple microservices?

    Answer: Distributed Tracing (Application Map)

    Application Insights distributed tracing propagates a correlation ID across service boundaries, and the Application Map visualizes the full dependency chain for a request.

  4. What is the purpose of adaptive sampling in Application Insights?

    Answer: Reduces telemetry volume by sending a statistical sample of requests while preserving data accuracy

    Adaptive sampling dynamically adjusts the fraction of telemetry sent to Application Insights to stay within data volume limits while preserving statistical accuracy.

  5. Which Azure Monitor component stores log data and supports KQL (Kusto Query Language) for querying?

    Answer: Log Analytics Workspace

    Log Analytics Workspaces store structured log data from Azure resources and Application Insights, queried using Kusto Query Language (KQL).

  6. What is the difference between Azure Monitor Metrics and Azure Monitor Logs?

    Answer: Metrics are time-series numerical data stored for up to 93 days; Logs are structured text data stored in Log Analytics for longer retention with KQL querying

    Metrics are lightweight time-series numeric values retained for 93 days, ideal for real-time alerting; Logs are structured records in Log Analytics with flexible retention and KQL queries.