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

Actual exam question for Databricks's Databricks Certified Machine Learning Professional exam
Question #: 12
Topic #: 8
[All Databricks Certified 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?

A)

B)

C)

D)

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Suggested Answer: C

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

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Portia
8 days 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
10 days 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
11 days 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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Kris
12 days 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
14 days ago
Hmm, this seems straightforward enough. Let me take a closer look at the options and see which one makes the most sense.
upvoted 0 times
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Sylvia
16 days 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.
upvoted 0 times
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