Model registration allows you to store and version your models in the Azure cloud, in your workspace. The model registry helps you organize and keep track of your trained models.
B is the answer.
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-models?view=azureml-api-2&tabs=cli%2Cuse-local#create-a-model-in-the-model-registry
Model registration allows you to store and version your models in the Azure cloud, in your workspace. The model registry helps you organize and keep track of your trained models.
Registering the model is the correct option because it allows you to track and manage multiple versions of the model within Azure Machine Learning. When you register a model, it creates a versioned entry in the model registry, which helps you keep track of different iterations or improvements made to the model over time. This allows for easy deployment, reproducibility, and management of different versions of the trained model.
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