Explanation:
The Model Version page in the MLflow Model Registry is the correct interface for managing different versions of a model, including transitioning a model from the Staging stage to the Production stage. The other options do not provide the necessary functionality for this specific task within the Databricks Model Registry context.
Ultimate access to all questions.
After evaluating a new Staging version of a model in the MLflow Model Registry and ensuring it passes all tests, where can a machine learning engineer transition this model to the Production stage within Databricks Machine Learning?
A
From the comment feature on the notebook page where the model was developed
B
From the Model Version page in the MLflow Model Registry
C
From the Run page in the Experiments section
D
From the Model page in the MLflow Model Registry
E
From the Experiment page in the Experiments section
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