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Databricks Machine Learning Professional Exam - 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?

Aclient.transition_model_version_stage

Bclient.delete_model_version

Cclient.update_registered_model

Dclient.delete_model

Eclient.delete_registered_model

Show Suggested Answer

Suggested Answer: E

by Katy at Sep 13, 2024, 04:53 PM

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Hershel

7 months ago

I thought you could only update models, not delete them!

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Stephane

8 months ago

Definitely B, no doubt about it!

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Yasuko

8 months ago

Wait, can you really delete a model version like that?

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Gayla

8 months ago

I think E could work too, right?

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Kallie

8 months ago

B is the right choice!

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Lanie

9 months ago

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.

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Marleen

9 months ago

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.

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Sharita

9 months ago

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.

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Miesha

9 months ago

I think the operation to delete a model version is `client.delete_model_version`, but I'm not entirely sure if that's the right one for the registry.

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Latonia

9 months ago

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.

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Lorriane

9 months ago

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.

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Gary

9 months ago

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.

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Gilma

9 months ago

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".

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Linn

9 months ago

Okay, let's see. I need to identify the goals of the maintenance plan, like reliability and safety. Then I can match those to the options provided.

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Chery

2 years ago

I agree with Huey, because we want to delete the entire model from the registry.

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Tambra

2 years ago

I'm not sure, but I think it might be D) client.delete_model instead.

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Ligia

2 years 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 years ago

I agree, let's go with E) client.delete_registered_model to clean up the registry.

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Natalie

2 years ago

C) client.update_registered_model sounds good too. It's always good to update metadata before deleting.

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Macy

2 years ago

I prefer E) client.delete_registered_model. It removes all versions of the model from the registry.

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Ena

2 years ago

I think D) client.delete_model is the way to go. Just get rid of it completely.

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Jesus

2 years 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 years ago

I agree with E, deleting the whole registered model seems like the way to go.

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Michell

2 years ago

I would go with D, just deleting the model itself.

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Lemuel

2 years ago

I think E is the answer too. Starting fresh sounds like a good idea.

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Celestina

2 years 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

2 years ago

I think the answer is E) client.delete_registered_model.

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Ernest

2 years 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 years ago

No, client.delete_registered_model is used to delete the registered model, not the model itself.

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Chery

2 years ago

But what about client.delete_registered_model? Could that also be used?

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Stefany

2 years ago

Yes, client.delete_model allows you to delete the entire model.

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Celestine

2 years ago

I think client.delete_model is the correct option.

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Wynell

2 years 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 years 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

2 years ago

I think the correct answer is B) client.delete_model_version.

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