Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Microsoft Fabric workspace that contains a data warehouse named SalesDW. Your DevOps team wants every table, view, and stored procedure in the warehouse to be stored in a Git repository so that schema changes can be reviewed and deployed through an Azure DevOps pipeline to test and production workspaces. What is the most appropriate first step to create a deployable artifact that captures the current warehouse schema?
Use Visual Studio Code with the SQL Database Projects extension to import SalesDW and build a .dacpac file.
Execute a T-SQL BACKUP DATABASE command in a Fabric notebook and add the backup file to source control.
Export SalesDW from the Fabric portal as a Power BI project (.pbip) and push it to the Git repository.
Generate an Azure Resource Manager (ARM) template for the warehouse item from the Azure portal and store it in Git.
Microsoft Fabric data warehouses are compatible with SQL database projects. By using the SQL Database Projects extension in Visual Studio Code (or Visual Studio) you can import the existing SalesDW schema and automatically generate a .dacpac file. The .dacpac (Data-tier Application Component Package) is a portable artifact that represents the entire database schema and can be committed to a Git repository and deployed to other Fabric workspaces through CI/CD pipelines. Exporting a Power BI project captures reports and models, not warehouse objects; ARM template exports do not include Fabric warehouse schemas; and BACKUP DATABASE produces a backup, not a schema-focused deployment package suitable for source control and incremental deployments.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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