I’m leaning towards `client.delete_model_version`, but I also remember something about `client.transition_model_version_stage` being related to managing models. Not sure if it can delete, though.
I’m a bit confused about the difference between `client.delete_model` and `client.delete_registered_model`. I think one is for versions and the other for the model itself, but I can't recall which is which.
I remember practicing with similar questions, and I feel like `client.delete_registered_model` might be the answer since it sounds like it would delete a model from the registry.
I'm feeling pretty confident about this one. The key is that the question is asking about deleting a model from the Model Registry, not just deleting a model in general. So the right answer has to be an operation that's specific to the Model Registry, which narrows it down to either B or E. And between those two, B "client.delete_model_version" seems like the more direct way to delete a specific model version.
Hmm, I'm a bit confused on this one. I know there are a few different MLflow operations related to managing models, but I'm not totally sure which one is used to delete a model. I'll have to think this through carefully.
I'm pretty sure the answer is B, client.delete_model_version. That seems like the most direct way to delete a specific model version from the registry.
Okay, let me think this through step-by-step. To delete a model, I would guess we'd want to use either the "delete_model" or "delete_registered_model" operations. But since the question is specifically asking about deleting a model version, I think the right answer is probably B, "client.delete_model_version".
Hmm, I'm torn between B and E. Deleting the model version or the entire registered model both seem like valid options. I'll have to double-check the docs.
I think the correct answer is B) client.delete_model_version. Deleting a specific model version seems like the most straightforward way to remove a model from the registry.
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