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Answer: Integrate Azure Data Factory with Azure DevOps, using Git repositories for version control, and enable continuous integration and deployment pipelines.
Integrating Azure Data Factory with Azure DevOps and using Git repositories provides a robust version control system that supports collaboration, traceability, and automated deployment processes. This approach enhances the management of pipeline artifacts by ensuring that changes are tracked, reviewed, and deployed systematically.
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You are required to implement version control for pipeline artifacts in Azure Data Factory. Explain the process you would follow to set up version control, including the tools you would use, how you would integrate these tools with Azure Data Factory, and the benefits of this approach.
A
Use manual backups of pipeline JSON files and store them locally.
B
Integrate Azure Data Factory with Azure DevOps, using Git repositories for version control, and enable continuous integration and deployment pipelines.
C
Store pipeline definitions in a shared network folder and manually track changes.
D
Email pipeline JSON files to team members for version tracking.
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