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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?
A
Exporting notebooks as Python files for version control purposes, but without any continuous integration process
B
Ignoring version control for notebooks due to their interactive nature and focusing only on CI for data pipeline infrastructure code
C
Utilizing Databricks Repos to directly integrate your notebooks with Git, enabling version control and linking to Azure DevOps for CI pipelines
D
Manually copying notebooks into a version-controlled repository and reviewing changes before each deployment
