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Databricks Machine Learning Professional Exam - Topic 3 Question 18 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 18
Topic #: 3
[All Databricks Machine Learning Professional Questions]

A machine learning engineer is manually refreshing a model in an existing machine learning pipeline. The pipeline uses the MLflow Model Registry model "project". The machine learning engineer would like to add a new version of the model to "project".

Which of the following MLflow operations can the machine learning engineer use to accomplish this task?

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Suggested Answer: B

by Alfreda at Jun 18, 2024, 10:26 PM

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Phillip
3 months ago
I doubt mlflow.register_model is the best option for this.
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Moon
3 months ago
Wait, can you really just update the model like that?
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Eura
3 months ago
Definitely not E, that sounds unnecessary.
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Lynna
4 months ago
I think mlflow.add_model_version is the right choice here!
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Timothy
4 months ago
You can use mlflow.register_model to add a new version.
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Josue
4 months ago
I remember that creating a new model is different from adding a version, so I don't think option E is correct. It has to be one of the other functions.
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Carin
4 months ago
I’m a bit confused about the options. I thought `MlflowClient.update_registered_model` was for updating metadata, not adding a new version.
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Lacey
4 months ago
I practiced a similar question where we had to update a model version, and I feel like `mlflow.add_model_version` could be the right choice here.
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Ernest
5 months ago
I think I remember that to add a new version, we might need to use something like `mlflow.register_model`, but I'm not entirely sure if that's the right function for updating an existing model.
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Marisha
5 months ago
B, MlflowClient.update_registered_model, could also work, but I think A or C are more likely the correct answers based on the details provided.
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Noble
5 months ago
E, creating a new MLflow Model Registry model, doesn't seem right. The question specifically says the engineer wants to add a new version to an existing "project" model.
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Francoise
5 months ago
C, mlflow.add_model_version, seems like the most straightforward option here. That function lets you add a new version of an existing registered model.
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Selene
5 months ago
Hmm, I'm not sure about this one. I'll need to double-check the MLflow documentation to make sure I understand the different operations and how they work.
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Elli
5 months ago
I think the answer is A, mlflow.register_model. That function allows you to register a new model version with the MLflow Model Registry.
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Shenika
5 months ago
This is a tricky one. I'll need to think carefully about the different routing protocols and how they handle metrics.
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Refugia
5 months ago
This looks like a straightforward question about Python object and class attributes. I should be able to work through this step-by-step.
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Erasmo
5 months ago
Okay, let's see. The question is asking for the minimum SLA, so I'll need to consider the different options and choose the one that meets the minimum requirement.
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Paulene
5 months ago
I've got this! Option E is the way to go. Setting the processing options for the Automatic Payment Review report to reprint the check register should give me exactly what the client needs. Easy peasy!
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Jestine
5 months ago
I remember studying about internal control reports, but this wording feels more aligned with a letter from management confirming everything is okay.
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Justine
5 months ago
Okay, I think I've got this. War driving is the practice of actively collecting wireless network data, usually by driving around with a laptop or other device. The other options like spear phishing and social engineering are more about tricking people, not just collecting data.
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Darrel
2 years ago
E) The machine learning engineer needs to create an entirely new MLflow Model Registry model? Really? That seems like overkill for this scenario. I'm going with A) mlflow.register_model.
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Kasandra
1 year ago
B) MlflowClient.update_registered_model is not the right operation for this task.
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Shenika
1 year ago
C) mlflow.add_model_version could also be used to add a new version of the model to the existing project.
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Joana
1 year ago
A) mlflow.register_model is the correct operation to use in this scenario.
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Alaine
2 years ago
Let's go with A) mlflow.register_model then.
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Christene
2 years ago
I agree, that seems like the most appropriate operation to use in this case.
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Sophia
2 years ago
I think A) mlflow.register_model is the right choice here.
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Val
2 years ago
I think the machine learning engineer needs to create an entirely new MLflow Model Registry model if they want to add a new version.
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Pura
2 years ago
I'm not sure, but I think mlflow.add_model_version could also be used to add a new version of the model.
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Latonia
2 years ago
I agree with Eliz, mlflow.register_model seems like the right operation for this task.
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Eliz
2 years ago
I think the machine learning engineer can use mlflow.register_model to add a new version of the model.
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Linwood
2 years ago
I wonder if the exam proctor is secretly an MLflow developer trying to trip us up. All this model registry stuff is enough to make your head spin!
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Chanel
2 years ago
C) mlflow.add_model_version
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Dorothy
2 years ago
A) mlflow.register_model
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Youlanda
2 years ago
Hey, at least they didn't ask us to use MlflowClient.get_model_version (D) - that would just be cruel!
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Tayna
2 years ago
I think the answer is A) mlflow.register_model. It seems like the most straightforward way to add a new version of the model to the 'project' registry.
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Novella
2 years ago
Yes, mlflow.register_model is the most suitable option for adding a new version of the model to the 'project' registry.
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Cristy
2 years ago
I agree, using mlflow.register_model is the way to go for this task.
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Freeman
2 years ago
A) mlflow.register_model is the correct operation to add a new version of the model to the 'project' registry.
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