Databricks Certified Data Engineer - Associate

Explanation

When a data engineer has already cloned a Git repository and needs to get the latest changes from the central repository that have been made by colleagues, they need to use the Pull operation.

Here's why:

1. Clone (A): This operation is used to create a new local copy of a remote repository. Since the data engineer already has a cloned repository, this is not the correct operation.

2. Pull (B): This is the correct operation. The git pull command fetches changes from the remote repository and merges them into the current branch. It's essentially a combination of git fetch (to get the changes) and git merge (to integrate them into your local branch).

3. Merge (C): This operation combines changes from different branches, but it doesn't fetch changes from a remote repository. You would typically use git merge after fetching changes, but git pull handles both steps automatically.

4. Push (D): This operation sends local changes to the remote repository. This is the opposite of what the data engineer needs - they need to get changes FROM the remote repository, not send changes TO it.

In the Databricks Repos context, when working with a cloned repository, you would use the Git pull operation to sync your local repository with the latest changes from the central Git repository that your colleagues have pushed.