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Databricks Exam Databricks-Machine-Learning-Professional 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

Contribute your Thoughts:

Daisy
2 months 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
2 months 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
2 months 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 months 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 months ago
It's better to be safe and include both staging and production transitions in the code.
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Dan
1 months ago
I think using both options is a good idea to ensure the webhook triggers correctly.
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Marsha
1 months ago
I agree, covering both staging and production stages is important for triggering the job.
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Elmira
2 months 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
2 months 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 months ago
Yeah, option B should work for triggering the job.
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Teddy
1 months ago
I agree, option B seems like the most logical option.
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Jettie
2 months ago
I think option B is the best choice.
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Rodrigo
2 months 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 months ago
Yeah, option C makes the most sense here.
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Eileen
1 months ago
I agree, option C seems like the right choice.
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Ashley
2 months ago
I think option C is correct.
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Ludivina
2 months ago
Hmm, that makes sense too. It could trigger the job for both staging and production transitions.
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Izetta
3 months 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 months ago
Jeniffer: Yeah, option E seems more specific and covers all the necessary transitions.
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Mitsue
1 months ago
User 3: I agree with Mitsue, option E seems like the best choice.
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Jeniffer
1 months ago
I'm leaning towards option E, it covers both staging and production transitions.
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Mabel
2 months ago
I think option A could work.
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Annice
3 months 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
3 months ago
I'm not sure, maybe option E would be better since it covers both staging and production transitions.
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Chau
2 months ago
Agreed, having both staging and production transitions covered is a safe bet.
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Ivory
2 months ago
That makes sense, it's always good to cover all possibilities.
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Louvenia
2 months ago
I think option E is a good choice because it covers both staging and production transitions.
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Ludivina
3 months ago
I think the answer is B) 'MODEL_VERSION_TRANSITIONED_TO_PRODUCTION'.
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Chery
3 months 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
3 months 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
3 months ago
I agree, option B seems like the correct choice for triggering the job.
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