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Answer: Set up alerting mechanisms using Azure Monitor, implement retry logic for transient failures, and use fault tolerance techniques like checkpointing for persistent failures.
Setting up alerting mechanisms with Azure Monitor ensures timely notification of failures. Implementing retry logic and fault tolerance techniques like checkpointing enhances the pipeline's resilience, allowing it to handle transient and persistent failures effectively, thereby minimizing data loss and corruption.
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Consider a scenario where you need to implement a robust error handling mechanism in a data pipeline in Azure Data Factory. The pipeline processes critical financial data, and any failure must be addressed promptly to prevent data loss or corruption. Describe the error handling strategies you would implement, including how you would monitor and respond to failures.
A
Ignore errors and continue with the next activities in the pipeline.
B
Set up alerting mechanisms using Azure Monitor, implement retry logic for transient failures, and use fault tolerance techniques like checkpointing for persistent failures.
C
Manually check the pipeline after each run for errors.
D
Terminate the pipeline on any error and restart it from the beginning.
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