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Answer: client.update_model_version(name=model_name, version=new_model_version)
The correct way to update the version of a model in the MLflow Model Registry is by using `client.update_model_version(name=model_name, version=new_model_version)`. This method is specifically designed for updating model versions, aligning with MLflow's naming conventions and functionality. Other options either use non-standard terms or are intended for different purposes, such as updating general model metadata.
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What is the correct method to update the version of a model in the MLflow Model Registry?
A
client.modify_model_version(name=model_name, version=new_model_version)
B
client.update_model_version(name=model_name, version=new_model_version)
C
client.change_model_version(name=model_name, version=new_model_version)
D
client.update_model(name=model_name, version=new_model_version)
E
client.version_up_model(name=model_name, version=new_model_version)
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