Databricks Data Engineer Professional Question 253
Select 4You are tasked with deploying a new version of a data pipeline in a Databricks environment. Before deployment, you want to ensure that the pipeline functions correctly and does not disrupt existing processes. Which steps should you include in your deployment process to ensure a smooth deployment?
- A
Perform unit tests on individual components of the pipeline.
- B
Directly deploy the pipeline in production without testing to minimize delays.
- C
Use a staging environment to validate the full pipeline with representative data.
- D
Rollback the changes immediately after deployment, regardless of the outcome.
- E
Implement integration tests to validate interactions between pipeline components.
- F
Monitor the production environment for errors after deployment.
Show answer and explanation
Correct answers: A, C, E, F
Explanation
A robust deployment process includes thorough testing at multiple levels (unit, integration, and end-to-end), validation in a staging environment, and monitoring the production environment post-deployment. These steps ensure that the pipeline functions correctly while minimizing risks and disruptions. Directly deploying without testing or rolling back changes unnecessarily can lead to inefficiencies and potential system failures.
- A. Correct.
Unit testing ensures that individual components of the pipeline work as expected, which is a critical step in identifying issues early in the process.
- B. Incorrect.
Skipping testing and deploying directly to production can lead to unexpected errors and disruptions, so this is not a recommended approach.
- C. Correct.
Using a staging environment allows you to validate the entire pipeline in a controlled setting before moving to production, reducing the risk of failure.
- D. Incorrect.
Rolling back changes immediately without assessing the outcome is unnecessary unless there are critical issues identified post-deployment.
- E. Correct.
Integration testing ensures that different components of the pipeline work together as expected, which is essential for complex workflows.
- F. Correct.
Monitoring the production environment after deployment helps detect issues that might not have been caught during testing, ensuring quick resolution if problems arise.