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.
A SQL database project created in Visual Studio Code (or Azure Data Studio) with the SQL Database Projects extension enables developers to design the Fabric warehouse schema offline, use the build process for T-SQL validation, and produce a DACPAC file. The .sqlproj and generated DACPAC can be checked in to Git and deployed to other Fabric workspaces through CI/CD pipelines, satisfying all requirements.
Although a Visual Studio SQL Server Database Project can also target Microsoft Fabric warehouses and generate a DACPAC, the option presented relies on publishing directly from the IDE, bypassing source control and automated pipelines, so it does not meet the requirement. Exporting T-SQL scripts from the Fabric portal or using notebooks lacks built-in validation, structured project artifacts, and automated deployment support, making them unsuitable for robust lifecycle management.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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