Databricks Machine Learning Professional Exam - 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

Limited Time Offer

25%

Off

Get Premium Databricks Machine Learning Professional Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Coleen

9 months ago

I agree with Amber, B seems the best choice!

upvoted 0 times

...

Cecil

9 months ago

Definitely not A, it doesn't seem right.

upvoted 0 times

...

Bong

9 months ago

Wait, can we really archive models like that?

upvoted 0 times

...

Lisbeth

10 months ago

I think Option D is the way to go!

upvoted 0 times

...

Amber

10 months ago

Option B looks solid for this task.

upvoted 0 times

...

Daren

10 months ago

I think the code should include a method for both moving the model and archiving, but I can't remember which option does that.

upvoted 0 times

...

Laura

10 months ago

I feel like Option B looks familiar, but I'm a bit confused about whether it actually handles the archiving part correctly.

upvoted 0 times

...

Noble

10 months ago

I remember practicing a similar question where we had to move models between stages, but I can't recall if we had to archive them at the same time.

upvoted 0 times

...

Shonda

11 months ago

I think we need to use the MLflow Client to transition the model version, but I'm not sure about the exact syntax for archiving the old versions.

upvoted 0 times

...

Norah

11 months ago

I'm a little confused by the different code options. Can they all accomplish the same task, or are there nuances I'm missing? I'll need to carefully analyze each one to determine the most appropriate solution.

upvoted 0 times

...

Xochitl

11 months ago

Hmm, I'm a bit unsure about this one. I need to make sure I understand the task correctly - moving a model version to production and archiving existing production versions. Let me re-read the question and examine the code options closely.

upvoted 0 times

...

Linn

11 months ago

This looks like a straightforward MLflow model management task. I'll carefully review the code options and choose the one that best accomplishes the given requirements.

upvoted 0 times

...

Malissa

11 months ago

Okay, I think I've got a handle on this. Option B looks like the right choice - it allows me to transition the model version to production and archive any existing production versions in one step. I'll double-check the syntax, but I'm feeling confident about this.

upvoted 0 times

...

Royal

11 months ago

Hmm, this one seems straightforward. The key is to identify the activities that can be automated based on the given scenario.

upvoted 0 times

...

Hobert

11 months ago

I'm a bit confused on this one. There are a few different filter options, and I'm not sure which one would be the right approach. I'll need to carefully consider each option.

upvoted 0 times

...

Lenny

11 months ago

Okay, let's see. The question says Router 1 is configured as an NTP client of Router 2, so Router 2 needs to be in server-only mode. I'm thinking option C, "ntp master 4", might be the right answer since it would make Router 2 the master clock source.

upvoted 0 times

...

Farrah

2 years ago

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

upvoted 0 times

...

Catarina

2 years ago

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

upvoted 0 times

...

Katina

2 years ago

I disagree, I believe Option D is the right one

upvoted 0 times

...

Rusty

2 years ago

I think the correct code block to use is Option B

upvoted 0 times

...

Haydee

2 years ago

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

upvoted 0 times

...

Thurman

2 years ago

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

upvoted 0 times

...

Luke

2 years ago

But what about code block C? It looks promising too

upvoted 0 times

...

Thurman

2 years ago

I think we should use code block A

upvoted 0 times

...

Portia

2 years 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.

upvoted 0 times

...

Leonie

2 years 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?

upvoted 0 times

...

Bok

2 years 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.

upvoted 0 times

Stephaine

2 years ago

No, I believe Option C is the right one.

upvoted 0 times

...

Lashandra

2 years ago

I think Option B is the correct code block.

upvoted 0 times

...

Kris

2 years 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.

upvoted 0 times

...

Olene

2 years 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

...

Sylvia

2 years 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

...