Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 66 of 532

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

Databricks Data Engineer Associate Question 66

Select 3

You are tasked with implementing a CI/CD pipeline for your team’s Databricks project, which is managed using Databricks Repos. Which of the following are benefits of using Databricks Repos to enable CI/CD workflows?

  1. A

    It provides integration with Git repositories for version control.

  2. B

    It allows for automated deployment of Databricks jobs without external tools.

  3. C

    It supports Git-based branching for managing feature development and releases.

  4. D

    It enables integration with external CI/CD tools like Azure DevOps or GitHub Actions.

  5. E

    It automatically enforces code quality checks and testing in the development branch.

Show answer and explanation

Correct answers: A, C, D

Explanation

Databricks Repos enables CI/CD workflows by integrating with Git for version control and supporting Git-based branching, which helps manage feature development and releases. Additionally, it allows integration with external CI/CD tools to build comprehensive pipelines. However, some functionalities like automated job deployment and code quality enforcement require external tools or custom configurations.

  • A. Correct.

    Correct: Databricks Repos integrates with Git repositories, which allows users to version control their notebooks, workflows, and other assets.

  • B. Incorrect.

    Incorrect: Databricks Repos does not natively provide automated deployment of Databricks jobs; external CI/CD tools are typically required for such automation.

  • C. Correct.

    Correct: Databricks Repos supports Git-based branching, enabling teams to manage feature development and releases effectively.

  • D. Correct.

    Correct: Databricks Repos can be integrated with external CI/CD tools like Azure DevOps or GitHub Actions to build pipelines for testing, deployment, and more.

  • E. Incorrect.

    Incorrect: While code quality checks and testing can be configured in CI/CD workflows, Databricks Repos does not automatically enforce these checks on its own.

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