Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 76 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 76

Select 3

You are working on a shared Databricks notebook with your team and need to manage version control for the code changes. However, you encounter some limitations with the notebook's built-in version control features compared to using Databricks Repos. Which of the following are limitations of Databricks notebooks' version control functionality?

  1. A

    Databricks notebooks do not support branching and merging workflows.

  2. B

    Databricks notebooks automatically track and display the full commit history of changes.

  3. C

    Databricks notebooks do not allow direct integration with Git repositories.

  4. D

    Databricks notebooks version control does not support resolving merge conflicts.

  5. E

    Databricks notebooks allow collaborative editing in real-time, but changes are not linked to Git commits.

Show answer and explanation

Correct answers: A, C, D

Explanation

Databricks notebooks' built-in version control lacks advanced features such as branching, merging, Git repository integration, and merge conflict resolution. These limitations make it less suitable for complex version control workflows compared to Databricks Repos, which directly integrates with Git and supports these functionalities. Understanding these differences is crucial for choosing the right tool for version control in Databricks.

  • A. Correct.

    Correct. Databricks notebooks lack support for branching and merging workflows, which are essential features of Git-based version control systems like Repos.

  • B. Incorrect.

    Incorrect. Databricks notebooks do not automatically track or display a full commit history of changes; this is a feature of Databricks Repos or external Git tools.

  • C. Correct.

    Correct. Databricks notebooks do not directly integrate with Git repositories, which limits their ability to work with external version control systems compared to Repos.

  • D. Correct.

    Correct. The built-in version control in Databricks notebooks does not support resolving merge conflicts, which is an important feature for collaborative work in Repos.

  • E. Incorrect.

    Incorrect. While Databricks notebooks allow collaborative editing, this feature is unrelated to Git commits, and it does not address the limitations in version control functionality.

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