Databricks Certified Data Engineer - Professional

Databricks Certified Data Engineer - Professional

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In the context of migrating a Databricks notebook from one workspace to another within Microsoft Azure, consider the following scenario: Your organization is consolidating its Databricks workspaces to optimize costs and improve governance. You are responsible for migrating a critical notebook that includes complex dependencies, specific access control settings, and associated data objects. The migration must ensure minimal downtime, preserve all configurations, and adhere to compliance requirements. Which of the following approaches BEST meets these requirements? Choose one option.




Explanation:

Option B is the most efficient and reliable method for migrating a Databricks notebook between workspaces. By using the Databricks REST API, the entire notebook, including its metadata, dependencies, access control settings, and associated data objects, can be exported and imported seamlessly. This approach minimizes the risk of human error, ensures compliance by preserving all original configurations, and reduces downtime by automating the migration process. Manual methods (Options A, C, and D) are more prone to errors and do not guarantee the preservation of all settings, making them less suitable for critical migrations.