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When deploying a model using MLflow in a Databricks environment and aiming to serve the model as a REST API endpoint via the MLflow Model Registry, which operation is most appropriate for transitioning the model version to the 'Production' stage?
A
mlflow.deploy_model_version
B
mlflow.update_model_version_stage
C
mlflow.set_model_version_stage
D
mlflow.transition_model_version