Databricks Machine Learning Associate Question 475
Select 3A data science team is deciding whether to use the Unity Catalog model registry or the workspace-specific model registry to manage their machine learning models in Databricks. Which benefits does the Unity Catalog model registry provide compared to the workspace registry?
- A
Centralized model governance across multiple workspaces
- B
Ability to assign fine-grained access controls for models
- C
Support for multi-cloud deployment of models
- D
Simplified experimentation tracking for models
- E
Cross-workspace model discovery and collaboration
Show answer and explanation
Correct answers: A, B, E
Explanation
The Unity Catalog model registry provides advanced functionality compared to the workspace registry, including centralized governance, fine-grained permissions, and cross-workspace collaboration. These features make it ideal for organizations with multiple teams or workspaces needing unified model management.
- A. Correct.
Unity Catalog provides centralized model governance, allowing teams to manage and track models across multiple Databricks workspaces, which is not possible with the workspace registry.
- B. Correct.
Unity Catalog enables fine-grained access controls (e.g., table or column-level permissions), which is beneficial for managing sensitive models and ensuring compliance.
- C. Incorrect.
While Unity Catalog supports multi-cloud operations, this feature is not specific to the model registry capabilities and does not differentiate it from the workspace registry.
- D. Incorrect.
Experimentation tracking is unrelated to the model registry; it is typically handled by MLflow Tracking or other tools.
- E. Correct.
Unity Catalog allows teams to discover and collaborate on models across multiple workspaces, which is a key advantage over the workspace registry.