Microsoft DevOps Engineer Expert AZ-400 Practice Question
Your organization uses Azure DevOps Services with Git repositories, YAML build pipelines, and classic release pipelines that deploy to a production environment. Management asks you to build a Power BI dashboard that, for every project, shows deployment frequency and the median lead time from the first commit that triggered a build until the deployment that introduced that commit into production. You must minimize custom aggregation code and rely on a data source that supports scheduled refresh. Which data source should you query from Power BI?
Azure DevOps Analytics Views, specifically the Build and Deployment views, accessed through the OData feed
Application Insights telemetry collected from the production services
Azure DevOps REST APIs for Builds and Releases queried with custom Power Query scripts
An Azure Log Analytics workspace populated by exporting the Azure DevOps Audit log
Azure DevOps Analytics Views already correlate Git commits, pipeline runs, and release deployments into relational entities such as Build, Release, and Deployment views. They are exposed through an OData endpoint that Power BI can connect to directly and refresh on a schedule, so you can calculate deployment frequency and lead-time metrics with minimal custom code. The REST APIs surface the raw events but require significant client-side joins and transformations. Audit logs focus on security-related events, not delivery metrics, and Application Insights contains runtime telemetry, not pipeline activity.
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What is the OData feed and how does it integrate with Power BI?
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Microsoft DevOps Engineer Expert AZ-400
Design and implement processes and communications
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