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

Actual exam question for Databricks's Databricks Certified Machine Learning Professional exam
Question #: 26
Topic #: 6
[All Databricks Certified 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
11 days ago
I agree with Huey, because we want to delete the entire model from the registry.
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Tambra
11 days ago
I'm not sure, but I think it might be D) client.delete_model instead.
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Ligia
12 days 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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Ena
3 hours ago
I think D) client.delete_model is the way to go. Just get rid of it completely.
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Jesus
13 days 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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Lemuel
7 days ago
I think E is the answer too. Starting fresh sounds like a good idea.
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Celestina
21 days 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
23 days ago
I think the answer is E) client.delete_registered_model.
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Ernest
23 days 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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Stefany
9 days ago
Yes, client.delete_model allows you to delete the entire model.
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Celestine
11 days ago
I think client.delete_model is the correct option.
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Wynell
27 days 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
8 days 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
14 days ago
I think the correct answer is B) client.delete_model_version.
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