Databricks Certified Data Engineer - Professional
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In a Databricks Workflow, a job is configured with three tasks: Task A runs first. Upon its completion, Tasks B and C are triggered to run in parallel. If Tasks A and B finish successfully but Task C fails, which of the following describes the state of the Lakehouse?
A
The changes made by Tasks A and B are persisted in the Lakehouse, while Task C's failure does not trigger a rollback of those successful tasks.
B
No changes will be saved to the Lakehouse; a failure in any task (like Task C) triggers an automatic rollback of the entire job's progress to ensure consistency.
C
Databricks uses a global commit barrier, meaning changes from Tasks A and B are only finalized and visible once Task C also succeeds.
D
The results of Tasks A and B are saved, but Databricks will automatically identify and undo every single write operation performed by Task C before the failure occurred.