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CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #72

CERTIFIED-DATA-ENGINEER-PROFESSIONAL Question #72: Real Exam Question with Answer & Explanation

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Managing Databricks Workflows

Question

A Databricks job has been configured with 3 tasks, each of which is a Databricks notebook. Task A does not depend on other tasks. Tasks B and C run in parallel, with each having a serial dependency on Task A. If task A fails during a scheduled run, which statement describes the results of this run?

Options

  • ABecause all tasks are managed as a dependency graph, no changes will be committed to the
  • BTasks B and C will attempt to run as configured; any changes made in task A will be rolled back
  • CUnless all tasks complete successfully, no changes will be committed to the Lakehouse; because
  • DTasks B and C will be skipped; some logic expressed in task A may have been committed before
  • ETasks B and C will be skipped; task A will not commit any changes because of stage failure.

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Topics

#Databricks Jobs#Task Dependencies#Error Handling#Data Persistence
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