Databricks Machine Learning Associate Question 474
Select 3What are the benefits of registering machine learning models in the Unity Catalog registry compared to the workspace registry in Databricks?
- A
Models registered in the Unity Catalog registry can be managed with fine-grained access controls across multiple workspaces.
- B
Unity Catalog registry allows for automatic versioning of models, whereas the workspace registry does not support versioning.
- C
Unity Catalog registry integrates with Databricks' centralized governance and lineage tracking capabilities.
- D
Models registered in the Unity Catalog registry can be accessed by all users in any workspace within the account.
- E
Unity Catalog registry provides built-in support for deploying models to production environments without additional configuration.
Show answer and explanation
Correct answers: A, C, D
Explanation
The Unity Catalog registry is designed for enterprise-level collaboration and governance. Its benefits include fine-grained access controls, integration with centralized governance and lineage tracking, and accessibility across workspaces. These features make it a more robust choice compared to the workspace registry for managing machine learning models in multi-workspace environments.
- A. Correct.
Correct: The Unity Catalog registry enables fine-grained access control and allows for consistent management of models across multiple workspaces.
- B. Incorrect.
Incorrect: Both Unity Catalog and workspace registries support versioning of models, so this is not a unique benefit of the Unity Catalog registry.
- C. Correct.
Correct: Unity Catalog registry integrates with Databricks' centralized governance and lineage tracking, which provides better transparency and compliance.
- D. Correct.
Correct: Models in the Unity Catalog registry can be accessed across all workspaces within the account, making it suitable for collaborative use cases.
- E. Incorrect.
Incorrect: While Unity Catalog offers governance advantages, it does not inherently provide built-in deployment capabilities. Deployment still requires additional configuration.