Explanation:
The issue described is that the Save button is unavailable in Azure Data Factory Studio, and there are validation errors preventing pipeline publication. The goal is to save the pipeline logic despite these validation errors.
Triggers vs. Saving Logic: Triggers in Azure Data Factory control when pipelines execute (schedule-based, event-based, or tumbling window). Disabling triggers affects pipeline execution scheduling but has no relationship with the ability to save pipeline logic or resolve validation errors.
Root Cause of Unavailable Save Button: The Save button becomes unavailable when there are validation errors in the pipeline configuration. These could include:
Proper Solution Approach: To save pipeline logic despite validation errors, you would need to:
When facing validation errors preventing pipeline saving:
Conclusion: The proposed solution of disabling triggers does not meet the goal because it doesn't address the actual cause of the unavailable Save button (validation errors) and focuses on an unrelated component of Azure Data Factory.
Ultimate access to all questions.
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 disabled, and validation errors are preventing the pipeline from being published.
You need to ensure you can save the pipeline logic.
Proposed Solution: You disable all triggers for ADF1.
Does this solution achieve the goal?
A
Yes
B
No
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