Databricks Certified Data Engineer - Associate

Explanation

Correct Answer: D - Databricks Repos supports the use of multiple branches

Why this is correct:

1. Multiple Branch Support: Databricks Repos provides Git integration, which inherently supports branching workflows. This allows data engineers to:

   • Create feature branches for new development
   • Maintain separate development, staging, and production branches
   • Implement GitFlow or similar branching strategies
   • Collaborate on different features simultaneously without conflicts

2. Comparison with Built-in Notebook Versioning:

   • Built-in Databricks Notebooks versioning only provides basic version history within a single notebook
   • It lacks Git integration and proper branching capabilities
   • While built-in versioning allows reverting to previous versions (option A), this is also possible with Repos
   • Built-in versioning is housed within Databricks (option B), but so is Repos integration
   • Built-in versioning doesn't support commenting on changes (option C), but Repos provides this through Git commit messages and pull requests

3. Key Advantage: The ability to use multiple branches is a fundamental Git feature that Databricks Repos brings to the platform, enabling proper software development lifecycle practices for data engineering projects.

Why other options are not the primary advantage:

• Option A: Both built-in versioning and Repos allow reverting to previous versions
• Option B: Both solutions are housed within Databricks platform
• Option C: While Repos provides commenting through Git commits, this isn't the most distinctive advantage over built-in versioning

Best Practice: Databricks Repos is recommended for production data engineering projects as it enables proper version control, collaboration, and CI/CD integration through Git workflows.