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Answer: All of the above.
Troubleshooting a failed pipeline run in Azure Data Factory requires a comprehensive approach. Option A involves checking the monitoring tools in Azure Data Factory, which can provide immediate feedback on the activity's status and any errors. Option B involves reviewing the logs of the external service, which can give insights into issues that occurred during the data transfer. Option C involves verifying the connectivity and authentication settings, which are crucial for successful data transfer. Therefore, the correct approach is to perform all these steps to effectively troubleshoot the issue.
Author: LeetQuiz Editorial Team
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You are troubleshooting a failed pipeline run in Azure Data Factory, which includes activities that execute in external services. The pipeline failed at the 'Copy Data' activity. What steps would you take to troubleshoot this issue?
A
Check the monitoring tools in Azure Data Factory for errors or warnings related to the 'Copy Data' activity.
B
Review the logs of the external service where the data is being copied to or from.
C
Verify the connectivity and authentication settings for the external service.
D
All of the above.
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