Databricks Data Engineer Associate Question 427
Select 3You are designing a Databricks Job to process a large dataset that involves three distinct steps: data ingestion, data transformation, and model training. Instead of creating a single task for the entire process, you decide to use multiple tasks within the Job. What are the benefits of using multiple tasks in this scenario?
- A
Each task can have its own cluster configuration, optimizing resource utilization for different stages of the workflow.
- B
Using multiple tasks ensures that the entire process will automatically retry from the beginning if any task fails.
- C
Tasks can be run in parallel, reducing the total runtime of the Job workflow when dependencies allow.
- D
It simplifies debugging by isolating failures to specific tasks rather than the entire workflow.
- E
Using multiple tasks automatically improves the performance of each task by scaling resources dynamically.
Show answer and explanation
Correct answers: A, C, D
Explanation
Using multiple tasks in a Databricks Job provides several benefits, including the ability to use separate cluster configurations for different tasks, the potential to run tasks in parallel to save time, and improved debugging by isolating failures to specific tasks. However, it does not automatically retry the entire Job on failure or dynamically improve the performance of individual tasks without proper configuration.
- A. Correct.
Correct: Each task can have its own cluster configuration, allowing you to allocate appropriate resources for different stages, such as a smaller cluster for ingestion and a larger cluster for model training.
- B. Incorrect.
Incorrect: If a task fails, only that specific task will retry (as per the retry policy), not the entire Job. This is not a benefit of using multiple tasks.
- C. Correct.
Correct: Tasks can be run in parallel if there are no dependencies between them, which can significantly reduce the total runtime of the workflow.
- D. Correct.
Correct: Debugging is simplified because errors are isolated to specific tasks, making it easier to identify and resolve issues.
- E. Incorrect.
Incorrect: Using multiple tasks does not automatically improve the performance of each task. Performance depends on the configuration and optimization of the individual tasks.