Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 67 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 67

Select 3

A data engineering team wants to implement a CI/CD workflow for their Databricks notebooks and jobs. They decide to use Databricks Repos as part of their solution. Which of the following actions are supported by Databricks Repos to enable a seamless CI/CD workflow?

  1. A

    Integrating with Git-based version control systems like GitHub or Azure DevOps

  2. B

    Automatically deploying changes to production environments without manual intervention

  3. C

    Collaboratively editing notebooks while tracking changes through version control

  4. D

    Creating branch-specific workflows to test changes in isolated environments

  5. E

    Running automated tests directly within the Databricks notebook interface

Show answer and explanation

Correct answers: A, C, D

Explanation

Databricks Repos is a feature that integrates with Git-based version control systems, enabling collaboration, version tracking, and branch-based workflows for CI/CD. While it supports collaborative development and isolated testing through branches, full CI/CD workflows like automated deployments and test execution require external tools. Understanding what features Databricks Repos natively supports is essential for implementing efficient CI/CD pipelines in Databricks environments.

  • A. Correct.

    Databricks Repos integrates with Git-based version control systems like GitHub, GitLab, and Azure DevOps, enabling version control and collaboration.

  • B. Incorrect.

    Databricks Repos does not natively support automated deployment to production environments. This requires external CI/CD tools to orchestrate pipelines.

  • C. Correct.

    Collaborative editing is supported, and changes made to notebooks in a Databricks Repo are tracked and can be committed back to the repository.

  • D. Correct.

    Databricks Repos supports using branches, which allows developers to test changes in isolated environments and merge them into the main branch after validation.

  • E. Incorrect.

    Automated tests cannot be directly run within the Databricks notebook interface; such workflows require integration with CI/CD tools like Jenkins or GitHub Actions.

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