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Answer: Databricks Repos can facilitate the pull request, review, and approval process before merging branches, Databricks Repos can commit or push code changes to trigger a CI/CD process
## Explanation Databricks Repos facilitates CI/CD workflows in several key ways: **Correct Options:** 1. **A. Databricks Repos can facilitate the pull request, review, and approval process before merging branches** - This is correct because Databricks Repos integrates with Git providers (GitHub, GitLab, Bitbucket) to enable code review workflows directly within the Databricks workspace. 2. **E. Databricks Repos can commit or push code changes to trigger a CI/CD process** - This is correct because when developers commit or push code changes from Databricks Repos to their Git repository, this can trigger automated CI/CD pipelines that run tests, build artifacts, and deploy changes. **Incorrect Options:** - **B. Databricks Repos can merge changes from a secondary Git branch into a main Git branch** - This is incorrect because Databricks Repos itself doesn't perform Git merges; Git merges are performed through the Git provider (GitHub, GitLab, etc.) or Git command line tools. - **C. Databricks Repos can be used to design, develop, and trigger Git automation pipelines** - This is incorrect because while Databricks Repos integrates with CI/CD pipelines, it doesn't design or develop the automation pipelines themselves; those are typically configured in CI/CD tools like GitHub Actions, GitLab CI/CD, Jenkins, etc. - **D. Databricks Repos can store the single-source-of-truth Git repository** - This is incorrect because Databricks Repos syncs with external Git repositories (GitHub, GitLab, Bitbucket) which serve as the single source of truth, not Databricks Repos itself. **Key CI/CD Workflow with Databricks Repos:** 1. Developers work on code in Databricks Repos 2. Changes are committed/pushed to trigger CI/CD pipelines 3. Pull requests are created and reviewed in Databricks 4. After approval, changes are merged via the Git provider 5. CI/CD pipelines deploy the changes to production environments
Author: Keng Suppaseth
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Which of the following describes how Databricks Repos can help facilitate CI/CD workflows on the Databricks Lakehouse Platform?
A
Databricks Repos can facilitate the pull request, review, and approval process before merging branches
B
Databricks Repos can merge changes from a secondary Git branch into a main Git branch
C
Databricks Repos can be used to design, develop, and trigger Git automation pipelines
D
Databricks Repos can store the single-source-of-truth Git repository
E
Databricks Repos can commit or push code changes to trigger a CI/CD process