Databricks Exam Databricks-Machine-Learning-Professional 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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Darrel

4 months 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 months ago

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

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Shenika

2 months 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 months ago

A) mlflow.register_model is the correct operation to use in this scenario.

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Alaine

2 months ago

Let's go with A) mlflow.register_model then.

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Christene

3 months ago

I agree, that seems like the most appropriate operation to use in this case.

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Sophia

3 months ago

I think A) mlflow.register_model is the right choice here.

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Val

4 months 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

4 months 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

4 months ago

I agree with Eliz, mlflow.register_model seems like the right operation for this task.

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Eliz

4 months 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

5 months 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

4 months ago

C) mlflow.add_model_version

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Dorothy

4 months ago

A) mlflow.register_model

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Youlanda

5 months 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

5 months 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

4 months 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

4 months ago

I agree, using mlflow.register_model is the way to go for this task.

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Freeman

4 months 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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