Databricks Data Engineer Professional exam dumps

Databricks Data Engineer Professional practice question 254 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 254

Select 3

You are working on a Databricks project that processes sensitive customer data. The team has implemented a series of unit tests for the data transformation logic, and now you are preparing to deploy the pipeline to a production environment. Which of the following steps should you include as part of a robust deployment strategy in Databricks to ensure reliability and security?

  1. A

    Enable CI/CD pipelines to automate testing and deployment processes.

  2. B

    Manually execute the pipeline in production to verify its correctness.

  3. C

    Use a staging environment to validate the pipeline before production deployment.

  4. D

    Grant all team members unrestricted access to production resources for debugging purposes.

  5. E

    Implement monitoring and alerting for pipeline performance in the production environment.

Show answer and explanation

Correct answers: A, C, E

Explanation

A robust deployment strategy for Databricks involves automating testing and deployment with CI/CD pipelines, validating pipelines in a staging environment before production deployment, and implementing monitoring and alerting for production pipelines. These practices minimize risk, enhance security, and ensure the reliability of your data engineering workflows. Manual execution and unrestricted access to production resources are not recommended as they pose risks to reliability and security.

  • A. Correct.

    Correct. Enabling CI/CD pipelines ensures that your testing and deployment processes are automated, reducing chances of human error and improving deployment efficiency.

  • B. Incorrect.

    Incorrect. Manually executing pipelines in production is not a best practice as it increases the risk of errors and is not scalable for modern data engineering workflows.

  • C. Correct.

    Correct. Using a staging environment allows you to test changes in a controlled environment, reducing the risk of deploying faulty pipelines directly to production.

  • D. Incorrect.

    Incorrect. Granting unrestricted access to production resources is a security risk and violates the principle of least privilege.

  • E. Correct.

    Correct. Monitoring and alerting are essential to ensure pipeline reliability, detect issues early, and maintain production performance.

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