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Databricks Machine Learning Professional Exam - Topic 3 Question 27 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 27
Topic #: 3
[All Databricks Machine Learning Professional Questions]

A machine learning engineer is attempting to create a webhook that will trigger a Databricks Job job_id when a model version for model model transitions into any MLflow Model Registry stage.

They have the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so that the code block accomplishes the task?

Show Suggested Answer Hide Answer
Suggested Answer: C

by Deonna at Sep 18, 2024, 09:29 AM

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Karma
3 months ago
C could work too, but I’m leaning towards B.
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Jess
3 months ago
A is definitely not the right one.
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Moon
3 months ago
Wait, can you really trigger on multiple stages like that?
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Mitsue
4 months ago
Nah, I’d go with B. Seems more straightforward.
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Tawna
4 months ago
I think option E is the best choice here.
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Vanesa
4 months ago
I’m confused about the options. D seems off to me; I don’t recall seeing 'MODEL_VERSION_TRANSITIONED_STAGE' in our notes.
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Paul
4 months ago
I practiced a similar question, and I feel like E could be correct since it includes both staging and production transitions.
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Rana
4 months ago
I'm not entirely sure, but I remember something about model version states. Could it be C for staging?
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Myong
5 months ago
I think the right answer might be B, since it specifically mentions transitioning to production, which seems relevant.
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Avery
5 months ago
Okay, I think I've got this. Based on the task description, the correct answer should be the event that triggers the webhook when the model version transitions into any stage, not just specific stages like production or staging. So I'll go with option D, 'MODEL_VERSION_TRANSITIONED_STAGE'.
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Catrice
5 months ago
Hmm, I'm a bit unsure about this one. The question is asking about the specific event that should trigger the webhook, and I'm not entirely familiar with the different MLflow Model Registry stage transition events. I'll need to think this through carefully.
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Jerry
5 months ago
This looks like a straightforward question about triggering a Databricks job based on model version transitions in the MLflow Model Registry. I'll need to carefully review the options to determine which one best matches the task description.
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Marvel
5 months ago
This seems straightforward enough. The question is asking about the event that should trigger the webhook, and the options provided cover the different model version transition events in the MLflow Model Registry. I'm leaning towards option E, as it covers both the 'MODEL_VERSION_TRANSITIONED_TO_STAGING' and 'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION' events.
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Venita
5 months ago
Remember, automated systems can still flag suspicious transactions. Just because it's online doesn't mean there's zero oversight.
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Daisy
1 year ago
Hmm, I'm not sure. Maybe we should just go with A) \'MODEL_VERSION_CREATED\' to keep it simple. I mean, who needs all these fancy stage transitions when you can just trigger it on model creation, am I right?
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Johna
1 year ago
I'm going with D) \'MODEL_VERSION_TRANSITIONED_STAGE\'. It's a more generic option that should work for any stage transition, right? Why make it more complicated than necessary?
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Isabella
1 year ago
E) \'MODEL_VERSION_TRANSITIONED_TO_STAGING\', \'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION\' seems like the best option to me. We want to cover both the staging and production stages.
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Timmy
1 year ago
Using both options will make sure the job is triggered at the right stages of the model transition.
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Charlene
1 year ago
It's better to be safe and include both staging and production transitions in the code.
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Dan
1 year ago
I think using both options is a good idea to ensure the webhook triggers correctly.
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Marsha
1 year ago
I agree, covering both staging and production stages is important for triggering the job.
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Elmira
1 year ago
I think the correct answer is B) \'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION\'. It makes sense that we want to trigger the Databricks job when the model version transitions to the production stage.
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Tammara
1 year ago
Ooh, this is a tricky one. I'd go with option B, but I hope the engineer has a backup plan in case the model gets stuck in staging forever.
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Zoila
1 year ago
Yeah, option B should work for triggering the job.
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Teddy
1 year ago
I agree, option B seems like the most logical option.
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Jettie
1 year ago
I think option B is the best choice.
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Rodrigo
1 year ago
Ha! I bet the engineer who wrote this code was daydreaming about their next Databricks job. Option C is the way to go.
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Ernest
1 year ago
Yeah, option C makes the most sense here.
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Eileen
1 year ago
I agree, option C seems like the right choice.
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Ashley
1 year ago
I think option C is correct.
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Ludivina
1 year ago
Hmm, that makes sense too. It could trigger the job for both staging and production transitions.
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Izetta
1 year ago
Hmm, I feel like option D is a bit too vague. We need something more specific to the stage transitions.
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Charlie
1 year ago
Jeniffer: Yeah, option E seems more specific and covers all the necessary transitions.
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Mitsue
1 year ago
User 3: I agree with Mitsue, option E seems like the best choice.
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Jeniffer
1 year ago
I'm leaning towards option E, it covers both staging and production transitions.
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Mabel
1 year ago
I think option A could work.
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Annice
1 year ago
I disagree, I believe the correct answer is E) 'MODEL_VERSION_TRANSITIONED_TO_STAGING', 'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION'.
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Karon
1 year ago
I'm not sure, maybe option E would be better since it covers both staging and production transitions.
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Chau
1 year ago
Agreed, having both staging and production transitions covered is a safe bet.
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Ivory
1 year ago
That makes sense, it's always good to cover all possibilities.
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Louvenia
1 year ago
I think option E is a good choice because it covers both staging and production transitions.
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Ludivina
1 year ago
I think the answer is B) 'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION'.
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Chery
1 year ago
Option B looks good to me. Triggering the job when the model transitions to production stage seems like the right thing to do.
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Lynelle
1 year ago
Yes, option B makes sense because we want the job to be triggered when the model transitions to the production stage.
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Rory
1 year ago
I agree, option B seems like the correct choice for triggering the job.
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