Databricks Data Engineer Associate Question 62
Select 3A data engineering team is collaborating on a project using Databricks. The team lead wants to share a specific notebook with other team members to enable collaborative development. Which of the following methods can be used to share a notebook in Databricks?
- A
Assign specific user permissions for the notebook within the workspace.
- B
Export the notebook as a file and share it via email or other file-sharing platforms.
- C
Publish the notebook as a public URL to share with anyone outside the workspace.
- D
Share the notebook using a shared workspace folder accessible to the team.
- E
Embed the notebook in an external website for real-time collaboration.
Show answer and explanation
Correct answers: A, B, D
Explanation
Notebooks in Databricks can be shared using workspace-level permissions, exporting as files for offline sharing, or through shared workspace folders for collaborative access. These methods ensure secure and controlled sharing of notebooks. Options like public URLs or embedding in websites are not valid or supported mechanisms for sharing Databricks notebooks.
- A. Correct.
Correct: Databricks allows assigning permissions (such as read, edit, or manage) to specific users or groups for a notebook within a workspace. This is a common way to securely share notebooks with team members.
- B. Correct.
Correct: A notebook can be exported as a file (e.g., .dbc, .py, .ipynb) and shared via email or other platforms, enabling others to import it into their own workspace.
- C. Incorrect.
Incorrect: Publishing a notebook as a public URL is not a recommended or valid method to share notebooks within Databricks, as it can compromise security and is not supported by Databricks for collaborative sharing.
- D. Correct.
Correct: Storing a notebook in a shared folder within the Databricks workspace allows all users with access to that folder to view or edit the notebook, depending on the folder-level permissions.
- E. Incorrect.
Incorrect: Embedding a notebook in an external website is not a feature provided by Databricks and cannot be used for real-time collaboration.