Instiq
Chapter 4 · Monitor, Troubleshoot, and Optimize·v2.0.0·Updated 6/28/2026·~9 min

What's changed: Deepened AZ-204 Chapter 4 to Associate depth (tables, scenarios, FAQ, traps; localized figures)

4.1Monitoring with Application Insights

Key points

Understand monitoring: telemetry collection with Application Insights (requests, dependencies, exceptions, custom metrics), KQL analysis, the application map, and alerts. The starting point for "Monitor, troubleshoot, and optimize" in AZ-204.

To understand app performance and failures, collect/analyze telemetry with Application Insights (part of Azure Monitor). It speeds up problem identification and alerting.

4.1.1Collect, analyze, alert

Diagram of three elements: telemetry (requests, dependencies, exceptions, custom events/metrics; SDK/auto-instrument), analyze (KQL in Logs, app map, live metrics, end-to-end traces), and alert & act (alerts on metrics/logs, action groups, notify/autoscale).
Application Insights monitoring
  • Telemetry: collect requests, dependencies, exceptions, custom events/metrics (SDK or auto-instrumentation).
  • Analyze: query Logs with KQL, visualize dependencies/latency with the application map, watch live metrics.
  • Alerts: fire on metric/log conditions; action groups notify or autoscale.
  • Distributed tracing: follow end-to-end flow across services via correlation IDs.
Exam point

Common on AZ-204: app performance/exception monitoring = Application Insights, query logs = KQL, find cross-service latency = app map/distributed tracing, notify/auto-respond on conditions = alerts + action groups.

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