Microsoft DevOps Engineer Expert AZ-400 Practice Question
Your organization operates hundreds of Azure Pipelines that collectively execute thousands of automated tests each day. Leadership asks you to introduce a centralized, low-maintenance way to monitor overall pipeline health by showing trends for build duration, test pass or failure rate, and automatically surfacing flaky tests across all projects, without inserting additional tasks into every YAML file. Which Azure DevOps capability should you enable first to satisfy these requirements?
Add a Publish Test Results task with diagnostics enabled to every pipeline and query the data in Azure Log Analytics.
Install the Deployment Gates extension and configure quality gates for each release stage.
Configure Continuous Export from Application Insights and run Kusto queries to identify flaky tests.
Enable the Azure DevOps Analytics service and use its Test Results and Pipeline Duration reports.
The Azure DevOps Analytics service provides a built-in data model that powers dashboards and widgets such as Test Results (which identifies flaky tests), Pipeline Duration, and Failure Trend reports. Because Analytics is enabled at the organization level, existing pipelines that already publish build and test results automatically feed these reports-no task changes are required. Exporting logs to Log Analytics, relying on Application Insights, or adding deployment gates could offer operational telemetry or quality checks, but none of those options natively aggregate pipeline health metrics or detect flaky tests at scale without additional configuration.
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What is the Azure DevOps Analytics service?
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What are flaky tests, and how are they identified in Azure DevOps?
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Why aren't Log Analytics or Application Insights recommended for monitoring pipeline health in this scenario?
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What is the Azure DevOps Analytics service, and why is it useful for monitoring pipelines?
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What are flaky tests, and how does Azure DevOps Analytics help identify them?
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How does the Azure DevOps Analytics service differ from querying data with Azure Log Analytics or Application Insights?
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Microsoft DevOps Engineer Expert AZ-400
Design and implement build and release pipelines
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