Data Engineering Associate with Databricks Practice Exam

How do Databricks Repos support CI/CD workflows?

1. By allowing code versioning

2. By managing access to notebooks

3. By committing code changes to trigger processes

4. By automating data ingestion

The correct answer is: By committing code changes to trigger processes

Databricks Repos significantly enhance CI/CD workflows by allowing teams to work with version-controlled code. This process involves committing code changes, which can trigger automated actions such as deployment to testing or production environments. The integration with version control systems enables developers to maintain a clear record of changes, facilitating collaboration, review, and testing of code before it goes live. The ability to commit code changes effectively automates portions of the CI/CD pipeline, allowing for smoother transitions from development to production. This aligns well with best practices in DevOps, where frequent, reliable delivery of updates is essential for maintaining the agility and responsiveness of software development. While other options may relate to aspects of development or data management, they do not directly contribute to the core functionality of CI/CD workflows in the way committing code changes does. For example, code versioning is part of the process but doesn't trigger actions. Managing access is important for security but does not directly facilitate continuous integration or deployment. Automating data ingestion is outside the scope of CI/CD and focuses more on data handling rather than the software development lifecycle.