DP-300 Configure and manage automation of tasks Practice Question
You need to automate the deployment of database schema changes across multiple Azure SQL Databases in a development environment. Which Azure service is designed for this purpose?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure DevOps using database projects and release pipelines.
Azure DevOps with database projects and release pipelines provides a CI/CD solution specifically designed for deploying schema changes to Azure SQL Databases. Option B is incorrect because SQL Agent jobs are used for scheduled administrative tasks within a single database, not for multi-database schema deployment automation. Option C is incorrect because Azure Automation Account with PowerShell runbooks is suitable for general automation tasks but lacks native CI/CD capabilities for database schema updates. Option D is incorrect because Azure Data Factory with copy activity focuses on data movement and transformation, not on executing schema changes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure DevOps using database projects and release pipelines.
Why this is correct
Azure DevOps database projects (DACPAC) with release pipelines provide version-controlled, repeatable schema deployment across multiple Azure SQL Databases. This satisfies the automation requirement, unlike ad hoc scripts or manual changes, by generating idempotent deployment plans per target.
- ✗
SQL Agent jobs on each database.
Why it's wrong here
SQL Agent jobs execute T-SQL on a single database and cannot coordinate ordered schema deployment across multiple Azure SQL Databases. It is tempting because SQL Agent is the familiar on-premises scheduling mechanism, but Azure SQL Database lacks a cross-database job scheduler; a CI/CD pipeline with migration scripts is required.
- ✗
Azure Automation Account with PowerShell runbooks.
Why it's wrong here
Azure Automation runbooks execute arbitrary PowerShell but provide no schema-version tracking, drift detection, or deployment ordering across databases. It is tempting because it automates tasks, yet it would be correct for scheduled operational jobs, whereas Azure SQL Database projects or DACPAC-based deployment pipelines target schema changes.
- ✗
Azure Data Factory with a copy activity.
Why it's wrong here
Copy activities move data between stores; they cannot apply DDL schema changes. It is tempting because Data Factory orchestrates pipelines and can run stored procedures, but schema deployment across databases requires a dedicated migration tool such as Azure Database Migration Service or a CI/CD pipeline with SqlPackage.
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