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?

Amlflow.register_model

BMlflowClient.update_registered_model

Cmlflow.add_model_version

DMlflowClient.get_model_version

EThe machine learning engineer needs to create an entirely new MLflow Model Registry model

Show Suggested Answer

Suggested Answer: B

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

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Phillip

6 months ago

I doubt mlflow.register_model is the best option for this.

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Moon

6 months ago

Wait, can you really just update the model like that?

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Eura

6 months ago

Definitely not E, that sounds unnecessary.

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Lynna

7 months ago

I think mlflow.add_model_version is the right choice here!

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Timothy

7 months ago

You can use mlflow.register_model to add a new version.

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Josue

7 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

7 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

7 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

8 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

2 years ago

B) MlflowClient.update_registered_model is not the right operation for this task.

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Shenika

2 years 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

2 years 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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