Explanation

The correct answer is B because:

1. Requirement: The data engineer needs to run a new notebook prior to the original task. This means the new task must execute before the original task.

2. Task Dependencies in Databricks Jobs: In Databricks Jobs, you can set up task dependencies where one task must complete before another starts. When you add a task as a dependency of another task, the dependent task will only run after the prerequisite task completes successfully.

3. Option B Analysis:

   • Create a new task in the existing Job for the new notebook
   • Add this new task as a dependency of the original task
   • This ensures the new task runs BEFORE the original task

4. Why other options are incorrect:

   • A: Cloning the existing task and updating it 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 run AFTER the original task, which is the opposite of what's needed.
   • D: Creating a new job from scratch with concurrent tasks would not ensure the new notebook runs before the original task.
   • E: Cloning to a new Job would create separate jobs without proper dependency management between the tasks.

5. Best Practice: This approach maintains the existing job structure while adding the necessary preprocessing step, ensuring data quality issues are addressed before the main processing task runs.