
Answer-first summary for fast verification
Answer: Fetch the latest changes from the remote Git repository and then switch to the `dev-2.3.9` branch once it appears.
### Explanation In Databricks Repos, the branch selection dropdown only displays branches that are known to the local workspace. If a branch like `dev-2.3.9` was recently created or updated on the remote repository (e.g., GitHub, GitLab, or Azure DevOps), it will not appear in the dropdown until the local repository fetches the latest metadata from the remote. **Why B is correct:** Performing a **Fetch** (often triggered by the 'Pull' or refresh actions in the Git dialog) updates the local environment's view of all available remote branches. Once the fetch is complete, the `dev-2.3.9` branch will become visible in the menu, allowing the developer to switch to it and review the code. **Why other options are incorrect:** * **Option A:** Merging outdated code into the target branch is dangerous and does not resolve the visibility issue in the UI. * **Option C:** Pull requests and REST API calls are used for merging code or workflow automation, but they do not refresh the local UI's list of available branches. * **Option D:** You cannot check out a branch that the local environment doesn't yet know exists. Furthermore, Databricks Repos does not provide 'automatic conflict resolution' during branch checkout; conflicts must be resolved manually if they occur during a merge or pull.
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A junior data engineer is working within a Databricks Repos notebook on a personal branch containing outdated logic. They need to review the latest code in the dev-2.3.9 branch; however, this branch is not appearing in the branch selection dropdown.
What is the correct approach to allow the developer to review the current logic in the dev-2.3.9 branch?
A
Merge the personal branch with dev-2.3.9 and create a pull request to synchronize with the remote repository.
B
Fetch the latest changes from the remote Git repository and then switch to the dev-2.3.9 branch once it appears.
C
Use the Databricks REST API to create a pull request and force the Repos environment to update to dev-2.3.9.
D
Check out the dev-2.3.9 branch using the Git CLI to automatically resolve any merge conflicts with the current branch.