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AZ-204 Application Insights Practice Question

A developer needs to run a Kusto query against application request data to identify 95th percentile latency by operation. Where should the query be run? The architecture review board prefers a managed Azure-native control.

⚠ Common exam trap

Watch out — candidates often confuse Azure Resource Graph with Log Analytics, thinking it can query telemetry data, but Resource Graph only returns resource inventory and configuration state, not performance metrics.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Logs in Application Insights or the associated Log Analytics workspace

Application Insights stores telemetry data, including request latency, in a Log Analytics workspace. Kusto queries against this data can compute percentiles (e.g., 95th) using the `percentile()` function. This is the correct location because the architecture review board prefers a managed Azure-native control, and Log Analytics is the native Azure monitoring service for running such queries.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Logs in Application Insights or the associated Log Analytics workspace

    Why this is correct

    Application Insights stores request telemetry in a Log Analytics workspace, queryable with KQL. Running the percentile query there uses the managed Azure-native control the review board prefers, avoiding self-hosted query infrastructure while still returning 95th percentile latency grouped by operation.

  • ✗

    Microsoft Entra audit logs

    Why it's wrong here

    Microsoft Entra audit logs record directory and sign-in activity, not application request durations, so percentile latency by operation cannot be derived from them. It is tempting because Entra audit logs are queried with Kusto, and would be correct for investigating suspicious sign-ins or consent grants.

  • ✗

    Azure Key Vault diagnostic settings

    Why it's wrong here

    Key Vault diagnostic settings route secret-access and vault audit events to a destination; they hold no application request telemetry, so latency percentiles cannot be computed. It is tempting because diagnostic settings do forward logs for Kusto analysis, and would be correct for auditing Key Vault access.

  • ✗

    Azure Resource Graph only

    Why it's wrong here

    Azure Resource Graph queries ARM resource metadata and configuration, not application request telemetry, so it cannot compute 95th percentile latency by operation. It is tempting because Resource Graph does use Kusto Query Language, and would be correct for inventorying or auditing Azure resources at scale.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AZ-204 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-204 exam.