Databricks Machine Learning Associate Question 19
Select 3You are working on a Databricks notebook that is linked to a Databricks Repo. After making significant changes to the notebook, you want to commit these changes to your external Git provider from within Databricks. Which of the following steps should you take to ensure the changes are successfully committed and synchronized with the external Git repository?
- A
Navigate to the Databricks Repos tab, click on your repo, and use the 'Commit' option to commit changes along with a commit message.
- B
Ensure that your notebook is saved in Databricks before committing the changes to the external Git provider.
- C
Use the 'Pull' option in the Databricks Repos interface to fetch the latest changes from the external Git provider before committing.
- D
Provide a commit message when committing changes to document the updates.
- E
Directly modify the external Git repository without using the Databricks interface.
Show answer and explanation
Correct answers: A, B, D
Explanation
To successfully commit changes from a Databricks Repo to an external Git provider, you need to ensure that your work is saved, provide a clear commit message, and use the commit functionality within the Databricks Repos interface. These steps ensure proper synchronization between Databricks and the external Git repository. Pulling updates from the external Git provider is a separate action and is not required for committing changes.
- A. Correct.
This is correct. The Databricks Repos feature provides a 'Commit' option, which allows you to commit changes made in Databricks to the external Git provider.
- B. Correct.
This is correct. Saving the notebook ensures that all your changes are properly captured before committing them to the external Git provider.
- C. Incorrect.
This is incorrect. The 'Pull' option is used to fetch updates from the external Git provider, not for committing changes. However, pulling changes is not a required step for committing local updates.
- D. Correct.
This is correct. A commit message is essential for documenting what changes were made, and Databricks requires you to provide one when committing.
- E. Incorrect.
This is incorrect. Committing changes directly to the external Git repository without using the Databricks interface will not synchronize with the Databricks Repo, leading to inconsistencies.