Databricks Exam Databricks-Machine-Learning-Professional Topic 8 Question 12 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam

Question #: 12
Topic #: 8

[All Databricks-Machine-Learning-Professional Questions]

A machine learning engineer wants to move their model version model_version for the MLflow Model Registry model model from the Staging stage to the Production stage using MLflow Client client. At the same time, they would like to archive any model versions that are already in the Production stage.

Which of the following code blocks can they use to accomplish the task?

AOption A

BOption B

COption C

DOption D

Show Suggested Answer

Suggested Answer: C

by Youlanda at Apr 14, 2024, 12:58 AM

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Farrah

6 months ago

I have used Option A before and it worked perfectly for moving models

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Catarina

6 months ago

I'm leaning towards Option C, it seems more logical to me

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Katina

6 months ago

I disagree, I believe Option D is the right one

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Rusty

7 months ago

I think the correct code block to use is Option B

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Haydee

7 months ago

I prefer code block D, it seems to have the most complete solution

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Thurman

7 months ago

I'm not sure, but A seems more straightforward to me

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Luke

7 months ago

But what about code block C? It looks promising too

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Thurman

7 months ago

I think we should use code block A

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Portia

8 months ago

I'm pretty confident in my understanding of MLflow, but this question is really making me think. I better double-check my knowledge before answering.

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Leonie

8 months ago

Okay, let's think this through. We need to move the model version to Production and archive the old ones. Which option does that the best?

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Bok

8 months ago

Haha, 'archive any model versions that are already in the Production stage' - that's a good one! Someone's trying to catch us out with that one.

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Stephaine

6 months ago

No, I believe Option C is the right one.

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Lashandra

7 months ago

I think Option B is the correct code block.

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Kris

8 months ago

Ah, the age-old dilemma of moving model versions and archiving old ones. I've done this a few times, so I think I know the right approach.

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Olene

8 months ago

Hmm, this seems straightforward enough. Let me take a closer look at the options and see which one makes the most sense.

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Sylvia

8 months ago

Wow, this question really tests our understanding of MLflow Model Registry operations. I'm feeling a bit nervous, but I think I have a good handle on the concepts.

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