Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You manage a Microsoft Fabric workspace that contains a data warehouse used by several analytics teams. The schema is expected to change frequently, and you must adopt a repeatable, source-controlled process that lets developers design tables offline, validate T-SQL syntax, and generate a deployment artifact that can be promoted by a pipeline to test and production workspaces. Which approach should you recommend to meet these requirements?

  • Use the Export SQL scripts feature in the Fabric portal after every schema change and store the scripts in the Git repository for manual deployment.

  • Create a SQL database project in Visual Studio Code (or Azure Data Studio) by using the SQL Database Projects extension and commit the resulting .sqlproj and generated DACPAC to the Git repository.

  • Create a SQL Server Database Project in Visual Studio with SQL Server Data Tools (SSDT) and publish directly from the IDE to each workspace.

  • Author schema changes in Fabric notebooks and rely on automated retry logic in orchestration pipelines to apply them in downstream workspaces.

Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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