Databricks Data Engineer Professional exam dumps

Databricks Data Engineer Professional practice question 257 of 313

Databricks Certified Data Engineer Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Professional Question 257

Select 3

You are deploying a new ETL pipeline in Databricks. The pipeline consists of multiple jobs, and you want to ensure that it is thoroughly tested before moving it to production. Which of the following actions should you take to ensure the pipeline is robust and ready for deployment?

  1. A

    Implement unit tests for all transformations in the pipeline using a framework like pytest.

  2. B

    Run the pipeline on a small, representative subset of production data in a staging environment.

  3. C

    Deploy the pipeline directly to production and monitor it for any failures.

  4. D

    Set up a CI/CD pipeline to automate testing, validation, and deployment processes.

  5. E

    Hardcode production database credentials into the pipeline to simplify testing.

Show answer and explanation

Correct answers: A, B, D

Explanation

Testing and deployment of an ETL pipeline require a systematic approach to ensure its correctness and reliability. Unit testing validates individual components, running the pipeline on a staging environment ensures it's ready for production, and setting up a CI/CD pipeline automates the deployment workflow. Deploying directly to production or hardcoding sensitive credentials are unsafe and do not align with best practices.

  • A. Correct.

    Implementing unit tests is crucial for verifying the correctness of individual transformations in the pipeline. This ensures that smaller components work as expected before integrating them.

  • B. Correct.

    Running the pipeline on a subset of production data in a staging environment allows you to validate its behavior in a controlled setting without impacting production.

  • C. Incorrect.

    Deploying directly to production without prior testing or validation is a risky approach and can lead to failures or data corruption.

  • D. Correct.

    A CI/CD pipeline ensures that testing, validation, and deployment are automated, repeatable, and reliable, reducing the chances of manual errors.

  • E. Incorrect.

    Hardcoding production database credentials is a poor practice as it violates security principles and can lead to sensitive information being exposed.

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