Databricks Certified Data Engineer - Associate

Explanation

When a data engineer needs to get changes from a central Git repository to their local repository (in this case, a Databricks Repo), they need to perform a Pull operation.

Why Pull is the correct answer:

1. Pull operation fetches changes from the remote repository and merges them into the local repository
2. The scenario describes that changes have been made and synced to the central Git repository by a colleague
3. The data engineer needs to sync their Databricks Repo to get these changes
4. Pull is specifically designed to retrieve updates from a remote repository

Why other options are incorrect:

• A. Merge: Merge combines changes from different branches, but doesn't fetch from remote repositories
• B. Push: Push sends local changes to a remote repository (opposite of what's needed)
• D. Commit: Commit saves changes to the local repository, but doesn't retrieve from remote

Git Workflow in Databricks Repos:

1. Colleague makes changes → commits → pushes to central Git repository
2. Data engineer needs to pull those changes to their Databricks Repo
3. The pull operation will fetch and merge the changes from the central repository

This is a fundamental Git operation for collaboration where team members need to stay synchronized with the latest code changes.