AZ-400 Implement an instrumentation strategy Practice Question
You need to monitor the health of your Azure Pipeline agents. Which Azure DevOps Analytics view should you use to identify agents that have not reported in the last hour?
⚠ Common exam trap
Candidates may confuse 'Release Analytics' or 'Pipeline Run Analytics' with agent health monitoring, because they assume any analytics view related to pipelines would include agent status, but Azure DevOps separates agent infrastructure health (monitored via the Agent Health dashboard) from pipeline execution analytics.
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
✓
Agent Health dashboard
The Agent Health dashboard in Azure DevOps provides real-time status of pipeline agents, including their last communication timestamp. By filtering for agents that have not reported in the last hour, you can identify unhealthy or disconnected agents. This dashboard directly surfaces agent connectivity and health metrics. Note that this is a dashboard, not an Analytics view like Release Analytics, Test Analytics, or Pipeline Run Analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Agent Health dashboard
Why this is correct
The Agent Health dashboard in Azure DevOps provides a real-time view of pipeline agents, including their status (online/offline), enabled state, and the last time the agent contacted the service. It is the appropriate tool for monitoring agent health, as it directly surfaces connectivity and availability issues for both Microsoft-hosted and self-hosted agents.
- ✗
Release Analytics
Why it's wrong here
Release Analytics focuses on release pipeline performance and outcomes, such as deployment frequency, success rates, and duration of releases. It does not report on the underlying infrastructure agents that execute those deployments, so it is not suitable for monitoring agent health.
- ✗
Test Analytics
Why it's wrong here
Test Analytics is designed to analyze test results, including pass rates, failure trends, and test duration across runs. It contains no information about the health, status, or connectivity of the agents that run the tests, making it irrelevant for agent health monitoring.
- ✗
Pipeline Run Analytics
Why it's wrong here
Pipeline Run Analytics provides metrics about pipeline runs, such as queue time, duration, and success/failure patterns. While it may indirectly reflect issues with agents, it is not a designated tool for checking agent status or last contact time; the Agent Health dashboard is the direct source for that information.
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Related to this question
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Introduction to DevOps and Azure DevOps
Key term
DevOps
DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.
Key term
Azure DevOps
Azure DevOps is a Microsoft service that provides development tools for planning, building, testing, and deploying software applications using automated pipelines and collaboration features.
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