Answer: They can create a new task in the existing Job and then add it as a dependency of the original task.

## Explanation The correct answer is **B** because: 1. **Requirement Analysis**: The data engineer needs to run a new notebook **prior to** the original task. This means the new task must execute first, and then the original task should run. 2. **Task Dependencies in Databricks Jobs**: In Databricks, you can set up task dependencies where one task must complete before another can start. When you add a task as a dependency of another task, the dependent task will wait for the prerequisite task to complete. 3. **Option B Analysis**: - Create a new task in the existing Job (running the new notebook) - Add it as a dependency of the original task - This ensures the new task runs first, then the original task runs after it completes 4. **Why Other Options Are Incorrect**: - **Option A**: Cloning and updating the existing task would replace the original task, not add a new task before it. - **Option C**: Adding the original task as a dependency of the new task would make the original task run first, which is opposite of the requirement. - **Option D**: Creating a new job from scratch with concurrent tasks would run both tasks at the same time, not sequentially with the new task first. 5. **Best Practice**: This approach maintains the existing job structure while adding the necessary preprocessing step, which is efficient and maintains operational consistency.

Author: Keng Suppaseth