Your team is using Azure Databricks notebooks for development and aims to implement version control and continuous integration (CI) practices. Which approach best integrates these practices into your workflow?

Real Exam

Explanation:

Utilizing Databricks Repos: This feature allows for direct version control of notebooks within the Databricks workspace, enabling change tracking, version reversion, and team collaboration. 2. Integrating with Git: Linking Databricks Repos with Git enhances version control, leveraging Git's robust features for code change management. 3. Linking to Azure DevOps for CI pipelines: This setup automates the testing and integration of notebook changes, ensuring they are deployment-ready and error-free early in the development cycle. Together, these steps establish a comprehensive version control and CI process for Databricks notebooks, facilitating efficient collaboration and confident deployment.

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