AZ-400 Application Dashboard Practice Question
You have an Azure DevOps pipeline that deploys a web app to Azure App Service. You want to capture deployment frequency and change failure rate as metrics in Application Insights. Which built-in analytics view should you use?
⚠ Common exam trap
Candidates may assume that 'Deployment Frequency' is a built-in Application Insights view because it appears in the Azure DevOps UI. However, it is a report within Azure DevOps Analytics, not a view in Application Insights. The question specifically asks for an Application Insights built-in analytics view.
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
✓
Application Dashboard
The Application Dashboard in Application Insights is a built-in analytics view that provides a customizable overview of your application's metrics. While it does not natively display deployment frequency or change failure rate, you can configure it with metric tiles to show these values if telemetry is properly instrumented. Option A is incorrect because 'Deployment Frequency' is a report in Azure DevOps Analytics, not a built-in view in Application Insights.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deployment Frequency
Why it's wrong here
The 'Deployment Frequency' view is a report in Azure DevOps Analytics, not a built-in analytics view in Application Insights.
- ✓
Application Dashboard
Why this is correct
The Application Dashboard is a built-in analytics view in Application Insights that can be customized with metric tiles to display deployment frequency and change failure rate.
- ✗
Time to Restore Service
Why it's wrong here
Time to Restore Service is a DORA metric, but it is not a built-in analytics view in Application Insights.
- ✗
Azure DevOps Pipeline Telemetry
Why it's wrong here
Azure DevOps Pipeline Telemetry is not a built-in analytics view; it refers to telemetry data that can be sent to Application Insights but not a predefined view.
Visual reference
Go deeper
Related to this question
Learn chapter
Introduction to DevOps and Azure DevOps
Key term
Telemetry
Telemetry is the automatic collection, transmission, and measurement of data from remote sources to a central system for analysis and monitoring.
Key term
Pipeline
A pipeline is an automated series of steps that takes code from development to production, ensuring quality and speed.
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