Answer-first summary for fast verification
Answer: Yes
## Analysis of the Solution ### Understanding the Problem When working in Azure Data Factory Studio, there are two primary modes: - **Live Mode**: Direct publishing to the Data Factory service (no Git integration) - **Git Mode**: Source-controlled development with Git integration ### Why the Save Button is Unavailable The "Save" button being unavailable indicates that the Data Factory is operating in **Live Mode** without Git integration. In Live Mode: - There is no "Save" option - only "Publish" is available - All changes must pass validation before they can be published - There is no way to save work-in-progress or draft changes ### How Git Integration Solves This Enabling Git integration for ADF1: 1. **Switches from Live Mode to Git Mode** - This immediately makes the "Save" button available 2. **Allows incremental saving** - You can save changes as JSON files to your Git repository regardless of validation status 3. **Enables draft work** - You can save incomplete pipelines and work on them over multiple sessions 4. **Provides version control** - Changes are tracked in Git, allowing you to revert if needed ### Why This Meets the Goal The primary goal is to "ensure that you can save the logic of the pipeline." Git integration directly addresses this by: - Making the Save button available immediately after configuration - Allowing you to save pipeline logic even with validation errors - Providing a mechanism to persist your work without requiring immediate publishing ### Important Considerations - Enabling Git integration will switch the Data Factory from Live Mode to Git Mode - Any unsaved changes in Live Mode may be lost during this transition - The validation errors still need to be resolved before publishing, but you can now save your work while fixing them ### Conclusion Yes, enabling Git integration meets the goal because it fundamentally changes the Data Factory's operation mode from one that requires immediate publishing (with no save capability) to one that supports incremental saving and version control, allowing you to preserve your pipeline logic regardless of validation status.
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You have an Azure subscription containing an Azure Data Factory named ADF1. You build a complex data pipeline in ADF1 using Azure Data Factory Studio. You find that the Save button is unavailable and validation errors are preventing the pipeline from being published. You need to ensure you can save the pipeline's logic.
Solution: You enable Git integration for ADF1.
Does this solution meet the goal?
A
Yes
B
No