Answer-first summary for fast verification
Answer: Use Azure Data Factory's monitoring and logging features to trace the execution of each activity and identify where the failure occurred.
Using Azure Data Factory's monitoring and logging features to trace the execution of each activity is a detailed approach to troubleshooting failed pipeline runs. This method involves examining the logs and execution details to pinpoint the exact activity or external service interaction that caused the failure. By identifying the specific point of failure, appropriate corrective actions can be taken, such as adjusting configurations, fixing data issues, or coordinating with external service providers to resolve the issue.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
Imagine you are troubleshooting a failed pipeline run in Azure Data Factory that includes activities executed in external services. Describe the steps you would take to identify the root cause of the failure and how you would rectify it. Include specific tools and techniques for monitoring and debugging the pipeline.
A
Rerun the pipeline without any changes.
B
Use Azure Data Factory's monitoring and logging features to trace the execution of each activity and identify where the failure occurred.
C
Assume the failure is due to a temporary issue and wait for it to resolve itself.
D
Increase the timeout settings for the pipeline activities.
No comments yet.