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Question: 2 You have successfully trained a machine learning model in Databricks using MLflow. Your next task is to register the model to Unity Catalog for easy discovery and management. What are the correct steps you should take to ensure the model is properly registered? (Select two)
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Explanation:
To properly register a machine learning model in Unity Catalog after training it with MLflow in Databricks, the correct steps involve using the Databricks Model Registry and MLflow functions that interface with Unity Catalog:
- B. The Databricks Model Registry allows you to manage, discover, and version your models. When registering a model, you can specify "Unity Catalog" as the destination.
- E. You can use the MLflow
mlflow.register_model()function, providing the Unity Catalog URI to ensure the model is registered in Unity Catalog.
These steps ensure seamless integration and proper registration within the Unity Catalog ecosystem._
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