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Answer: Configuring branch policies in Azure Repos with mandatory pull requests and approvals before merges to the main branch, triggering Azure Pipelines for deployment
Configuring branch policies in Azure Repos with mandatory pull requests and approvals before merges to the main branch is the most secure method to implement CI/CD for Azure Databricks notebooks and jobs using Azure DevOps. This approach ensures that all code changes are reviewed and approved before deployment, which helps in maintaining code quality and security. By setting up branch policies, developers are required to create pull requests for their code changes, allowing other team members to review the code before it is merged into the main branch. This review process helps in identifying any potential security vulnerabilities or issues in the code before it is deployed. Additionally, triggering Azure Pipelines for deployment ensures that the deployment process is automated and consistent, reducing the risk of human error. Azure Pipelines can be configured to run automated tests and checks before deploying the code to production, further enhancing the security of the deployment process. Overall, by implementing branch policies in Azure Repos with mandatory pull requests and approvals, along with using Azure Pipelines for deployment, organizations can ensure that their CI/CD process for Azure Databricks is secure, efficient, and reliable.
Author: LeetQuiz Editorial Team
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What is the most secure method to implement Continuous Integration/Continuous Deployment (CI/CD) for Azure Databricks notebooks and jobs using Azure DevOps, ensuring code is reviewed and approved before deployment?
A
Using Azure Function to automate the deployment process based on email approvals from designated approvers
B
Manually copying notebooks between Databricks workspaces for different environments (dev/test/prod)
C
Configuring branch policies in Azure Repos with mandatory pull requests and approvals before merges to the main branch, triggering Azure Pipelines for deployment
D
Using Azure DevOps to deploy directly from developers‘ branches to production Databricks workspaces without review
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