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In a scenario where you are tasked with managing a batch load process in Azure Data Factory, and you encounter a failure during the batch load, how would you handle the situation to ensure data integrity and provide a rollback mechanism?
A
Delete the failed batch and start a new one.
B
Use the checkpointing feature to identify the point of failure and retry the load from that point.
C
Manually inspect the logs and fix the issue before re-running the batch.
D
Ignore the failure and continue with the next batch load.
