Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You maintain a database project (.sqlproj) that contains the Data Definition Language (DDL) scripts for a Microsoft Fabric Warehouse. The project is stored in Azure Repos Git. You need to configure an Azure DevOps CI/CD pipeline that will automatically:
Build the database project to produce a DACPAC file.
Compare the DACPAC with the target Fabric Warehouse through its T-SQL endpoint.
Apply only the required schema changes during deployment.
Which pipeline task or command should you add to perform the deployment to the Fabric Warehouse?
Add an Azure CLI task that calls the Microsoft Fabric REST API to import the DACPAC file as a dataflow.
Add an Azure SQL Database deployment task that runs the SqlPackage command with the Publish action against the warehouse's T-SQL endpoint.
Add a Power BI deployment pipeline task that promotes the workspace to the test stage.
Add a Copy Files task that copies all .sql script files to a blob container linked to the workspace.
The Azure SQL Database deployment task (or an equivalent Script task that runs the SqlPackage CLI) can build and publish a DACPAC. During the Publish action SqlPackage connects to the Fabric Warehouse by using the workspace's T-SQL endpoint, compares the DACPAC schema to the target, and then applies only the incremental changes that are required to bring the warehouse in line with the project. Tasks that copy raw .sql files or invoke Power BI or generic Azure CLI commands cannot generate a DACPAC or perform the schema comparison and publish operation that database projects rely on.
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What is a DACPAC file?
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What is the role of the T-SQL endpoint in this deployment?
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How does SqlPackage facilitate incremental schema updates?
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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