Operation on target Databricks_Transformation_Operation failed: Invalid access token.

[vaibhav1]

Seeking efficient strategies for re

solving errors in Azure Data Factory pipelines. Any valuable tips or techniques?

[Kaniz_Fatma]

Hi @vaibhav1, 

• Verify the status of your dataset connections (source and sink).
• Error code 3200 (Error 403): Databricks access token expired. Create a new token and update the linked service.
• Error code 3201 (Missing required field): Specify the notebook path correctly in the Databricks activity.
• Verify cluster existence and Python file URIs²
• Ensure that the Databricks node type is supported (e.g., Standard_DS3_v2, Standard_D16s_v3, etc.)².
• Opt for incremental loading when dealing with large datasets⁴.
• Utilize parameterization for flexibility in your pipeline.
• Organize pipelines with a clear structure for better readability and maintainability.