Answer: Bulk import/export of notebooks to/from Azure DevOps Repos.

The primary use case for the Databricks CLI when managing notebooks within a Databricks workspace deployed on Azure is bulk import/export of notebooks to/from Azure DevOps Repos. This functionality allows users to easily manage and version control their notebooks by importing them into Azure DevOps Repos for collaboration and sharing with team members. It also enables users to export notebooks from Azure DevOps Repos back into the Databricks workspace for further analysis and processing. Automatically converting notebooks to .NET applications (Option C) is not a primary use case for the Databricks CLI. The Databricks CLI is primarily used for managing notebooks within the Databricks workspace and does not have the capability to automatically convert notebooks to .NET applications. Synchronizing notebooks with Microsoft OneDrive (Option D) is not a primary use case for the Databricks CLI. While it is possible to sync notebooks with Microsoft OneDrive using other tools or methods, the Databricks CLI is not specifically designed for this purpose. Direct integration with Visual Studio Code for remote execution (Option A) is not a primary use case for the Databricks CLI. While Visual Studio Code can be used to interact with Databricks workspaces, the Databricks CLI is a separate command-line tool specifically designed for managing notebooks within the Databricks workspace.

Author: LeetQuiz Editorial Team