Answer-first summary for fast verification
Answer: Task 1 will succeed. Task 2 will completely fail. Task 3 will be skipped
📘 Explanation In Databricks multi-task jobs with dependencies, each task can only start if its upstream task succeeds: Task 1 runs first and succeeds. Task 2 depends on Task 1, starts, but fails due to an error. Task 3 depends on Task 2, so it will not run and is marked skipped. ❌ Why other options are wrong Partial failure is not a standard task state. Downstream tasks never run if dependencies fail.
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In a multi-task Databricks job where tasks have strict dependencies Task 1 → Task 2 → Task 3, what will be the outcome of the job’s execution if an error occurs in the notebook linked to Task 2?
A
Task 1 will succeed. Task 2 will partially fail. Task 3 will be skipped
B
All tasks will completely fail
C
Tasks 1 and 3 will succeed, while Task 2 will completely fail
D
Task 1 will succeed. Task 2 will completely fail. Task 3 will be skipped
E
Tasks 1 and 3 will succeed, while Task 2 will partially fail
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