Databricks Certified Data Engineer - Associate

Explanation

The correct answer is B because:

1. The requirement is to run a new notebook BEFORE the original task - This means the new task should be executed first, followed by the original task.

2. In Databricks Jobs, task dependencies work by specifying that a task depends on another task - When you add a task as a dependency of another task, the dependent task will wait for the prerequisite task to complete successfully before starting.

3. Option B correctly implements this:

   • Create a new task for the new notebook
   • Add this new task as a dependency of the original task
   • This ensures the new task runs first, then the original task runs

4. Why other options are incorrect:

   • A: Cloning and updating the existing task would replace the original task, not add a new task before it.
   • C: Adding the original task as a dependency of the new task would make the new task wait for the original task to complete, which is the opposite of what's needed.
   • D: Creating a new job from scratch with concurrent tasks would run both tasks at the same time, not sequentially.
   • E: Cloning to a new job creates separate jobs, not a single job with sequential tasks.

5. The explanation provided in the text confirms this: "Once the new task is created, designate it as a dependency of the original task in the Job configuration. This ensures that the new task is executed before the original task."

This approach maintains the existing job structure while adding the necessary preprocessing step to handle the upstream data issue.