Databricks Data Engineer Professional Question 3
Select 3You are a data engineer tasked with creating a fully automated pipeline in Databricks. You need to ensure that the pipeline runs nightly, processes large volumes of data, and integrates seamlessly with other workflows in the team. Which Databricks tools or functionalities would you use to achieve this?
- A
Databricks Jobs to schedule and orchestrate the pipeline
- B
Databricks Notebooks for developing and executing the data transformations
- C
Unity Catalog to perform efficient data transformations in the pipeline
- D
Databricks Workflows for integrating with other workflows and dependencies
- E
Cluster Policies to control resource usage for the pipeline execution
Show answer and explanation
Correct answers: A, B, D
Explanation
To create a robust and automated pipeline in Databricks, you need to leverage Databricks Jobs for scheduling, Notebooks for developing transformations, and Workflows for managing dependencies and integrations with other workflows. Unity Catalog is not relevant for pipeline transformation tasks, and Cluster Policies are primarily used for governance and cost control.
- A. Correct.
Correct: Databricks Jobs are designed for scheduling and orchestrating tasks, making them essential for a nightly automated pipeline.
- B. Correct.
Correct: Databricks Notebooks are widely used for developing and executing data transformations, which are a critical part of the pipeline.
- C. Incorrect.
Incorrect: Unity Catalog is primarily used for managing data governance and access control, not for performing transformations in the pipeline.
- D. Correct.
Correct: Databricks Workflows allow seamless integration of tasks and dependencies, which is crucial when integrating with other workflows.
- E. Incorrect.
Incorrect: While Cluster Policies help control resource usage, they are not directly responsible for executing or orchestrating the pipeline.