In a scenario where you need to transition a model's stage in the MLflow Model Registry, you have multiple options to do so. Explain the different methods available for transitioning a model's stage, and discuss the advantages and disadvantages of each method.

Simulated

Use the Model Registry UI page to manually change the model's stage.

8.7%

Use the MLflow Client API to programmatically transition the model's stage.

10.9%

Request a stage transition through the ML Registry UI page and wait for approval from a designated approver.

17.4%

Combine the use of the Model Registry UI and the MLflow Client API to transition the model's stage in a hybrid approach.

63.0%

Databricks Certified Machine Learning - Associate