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Describe Azure architecture and servicesmediumMultiple ChoiceObjective-mapped

AZ-900 Describe Azure architecture and services Practice Question

Which Azure service provides real-time performance monitoring and alerting for live web applications, including request rates and failure rates?

⚠ Common exam trap

It's easy for candidates to confuse Azure Monitor Metrics (which collects infrastructure-level metrics) with Application Insights (which collects application-level telemetry), leading them to choose Option A for a question specifically about live web application performance.

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

Azure Application Insights

Azure Application Insights is a feature of Azure Monitor specifically designed for Application Performance Management (APM) of live web applications. It automatically detects performance anomalies, includes powerful analytics tools to diagnose issues, and provides real-time metrics such as request rates, response times, and failure rates directly from the application code.

Answer analysis

Option-by-option breakdown

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

  • Azure Monitor Metrics

    Why it's wrong here

    Azure Monitor Metrics is the feature of Azure Monitor that collects and stores numeric time-series data, such as CPU usage, memory percentage, or disk I/O, from Azure resources at regular intervals. It can display custom application metrics if your application emits them, but it lacks application performance monitoring (APM) capabilities like automatic anomaly detection, dependency mapping, and user behavior tracking. Metrics focuses on infrastructure-level signals, not the rich telemetry Application Insights provides for web applications.

  • Azure Application Insights

    Why this is correct

    Application Insights is an application performance management (APM) service that automatically monitors live web applications, capturing request rates, response times, failure rates, and dependency call durations. It provides code-level diagnostics, distributed tracing, and user behavior analytics (e.g., page views and session counts) through instrumentation SDKs, enabling proactive anomaly detection. This makes it the correct choice for monitoring application performance and user behavior.

  • Azure Log Analytics

    Why it's wrong here

    Azure Log Analytics is the log storage and query environment within Azure Monitor, where data from various sources is stored in Log Analytics workspaces and analyzed via Kusto Query Language (KQL). It does not actively monitor or instrument applications; it only queries and correlates telemetry that has already been collected elsewhere. Without pre-configured data ingestion, it cannot automatically detect application anomalies or provide real-time APM-style insights, so it is not the correct tool for this scenario.

  • Azure Network Watcher

    Why it's wrong here

    Azure Network Watcher is a network-level diagnostic tool that handles scenarios such as packet capture, VPN/ExpressRoute connection monitoring, NSG flow logs, and network topology visualization. It validates reachability and network configuration, but it does not instrument application code or track user sessions, HTTP requests, or response times. Therefore, while it may help troubleshoot an application outage caused by network issues, it is not designed for application performance monitoring.

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