A team's automated retraining job uses Lakeflow Jobs and detects that the model's performance has degraded below a threshold. After retraining and registering a new model version to Unity Catalog, which pattern correctly automates transition of the new version to the production alias?
MlflowClient().set_registered_model_alias(name, "champion", version) in the job notebook after validation.MlflowClient().transition_model_version_stage(name, version, "Production") in the job notebook.databricks bundle deploy to promote the model.More ML Ops Questions
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