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You are creating a multi-class image classification deep learning model using PyTorch version 1.2. How can you guarantee that the inferencing environment identifies and uses the correct PyTorch version when the model is deployed?
A
Save the model locally as a.pt file, and deploy the model as a local web service.
B
Deploy the model on computer that is configured to use the default Azure Machine Learning conda environment.
C
Register the model with a .pt file extension and the default version property.
D
Register the model, specifying the model_framework and model_framework_version properties._