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A Databricks job is configured with three tasks: Task A runs independently, while Task B and Task C run in parallel once Task A completes. If Task A and Task B finish successfully but Task C encounters a failure, what is the resulting state of the data in the Lakehouse?
A Databricks job is configured with three tasks: Task A runs independently, while Task B and Task C run in parallel once Task A completes. If Task A and Task B finish successfully but Task C encounters a failure, what is the resulting state of the data in the Lakehouse?
Real Exam
Last updated: January 6, 2026 at 15:39A
No changes will be saved to the Lakehouse unless all tasks are successful; the failure of Task C will trigger an automatic rollback of all changes made by Tasks A and B.
12.5%
B
As tasks are managed based on dependencies, changes are held in a temporary state and won’t be committed to the Lakehouse until every task in the job finishes successfully.
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