Databricks Data Engineer Associate Question 63
Select 3A data engineer wants to collaborate with team members on a Databricks notebook. Which of the following methods can be used to share the notebook with others?
- A
Assign permission levels (e.g., Viewer, Editor) to the notebook for specific users or groups.
- B
Export the notebook as a .dbc file and send it via email.
- C
Create a shared link to the notebook and adjust its access settings.
- D
Copy and paste the notebook content into a text editor and share the file.
- E
Share the notebook by adding collaborators directly via the Databricks Repos feature.
Show answer and explanation
Correct answers: A, B, C
Explanation
To share notebooks in Databricks, you can assign permissions, export the notebook as a .dbc file, or create a shared link. These methods leverage Databricks' built-in collaboration features and ensure secure and efficient sharing. Copying notebook content manually or using Databricks Repos for sharing is not recommended or supported for direct collaboration.
- A. Correct.
This is correct. Databricks allows you to directly assign permissions (Viewer, Editor, etc.) to users or groups for sharing notebooks securely.
- B. Correct.
This is correct. Exporting a notebook as a .dbc file is a valid way to share the notebook with others outside the Databricks workspace.
- C. Correct.
This is correct. Databricks provides the option to create a shared link to a notebook, which can be used to grant others access based on the link's settings.
- D. Incorrect.
This is incorrect. While it is technically possible to copy and paste notebook content, this method is not efficient, error-prone, and not aligned with Databricks' sharing features.
- E. Incorrect.
This is incorrect. Databricks Repos are used for version control and integration with Git, but they do not provide a direct feature for sharing notebooks by adding collaborators.