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Databricks Exam Databricks-Machine-Learning-Professional Topic 6 Question 26 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam
Question #: 26
Topic #: 6
[All Databricks-Machine-Learning-Professional Questions]

Which of the following MLflow operations can be used to delete a model from the MLflow Model Registry?

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Suggested Answer: E

Contribute your Thoughts:

Chery
3 months ago
I agree with Huey, because we want to delete the entire model from the registry.
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Tambra
3 months ago
I'm not sure, but I think it might be D) client.delete_model instead.
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Ligia
3 months ago
I'm going with C) client.update_registered_model. That way, I can at least update the model's metadata before sending it to the dumpster.
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Leigha
2 months ago
I agree, let's go with E) client.delete_registered_model to clean up the registry.
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Natalie
2 months ago
C) client.update_registered_model sounds good too. It's always good to update metadata before deleting.
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Macy
2 months ago
I prefer E) client.delete_registered_model. It removes all versions of the model from the registry.
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Ena
2 months ago
I think D) client.delete_model is the way to go. Just get rid of it completely.
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Jesus
3 months ago
Ha, I bet the answer is E. Who wouldn't want to just delete the whole registered model and start over? Clean slate, baby!
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Quentin
2 months ago
I agree with E, deleting the whole registered model seems like the way to go.
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Michell
2 months ago
I would go with D, just deleting the model itself.
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Lemuel
2 months ago
I think E is the answer too. Starting fresh sounds like a good idea.
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Celestina
3 months ago
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.
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Huey
3 months ago
I think the answer is E) client.delete_registered_model.
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Ernest
3 months ago
D) client.delete_model looks like the right choice to me. Doesn't that allow you to delete the entire model, including all its versions?
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Rory
2 months ago
No, client.delete_registered_model is used to delete the registered model, not the model itself.
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Chery
2 months ago
But what about client.delete_registered_model? Could that also be used?
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Stefany
3 months ago
Yes, client.delete_model allows you to delete the entire model.
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Celestine
3 months ago
I think client.delete_model is the correct option.
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Wynell
3 months ago
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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Lai
2 months ago
No, the correct answer is E) client.delete_registered_model. That's the operation used to delete a model from the MLflow Model Registry.
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Nickolas
3 months ago
I think the correct answer is B) client.delete_model_version.
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