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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?

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Suggested Answer: B

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

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Darrel
11 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
9 months ago
B) MlflowClient.update_registered_model is not the right operation for this task.
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Shenika
9 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
9 months ago
A) mlflow.register_model is the correct operation to use in this scenario.
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Alaine
10 months ago
Let's go with A) mlflow.register_model then.
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Christene
10 months ago
I agree, that seems like the most appropriate operation to use in this case.
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Sophia
10 months ago
I think A) mlflow.register_model is the right choice here.
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Val
11 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
11 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
11 months ago
I agree with Eliz, mlflow.register_model seems like the right operation for this task.
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Eliz
12 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
12 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
11 months ago
C) mlflow.add_model_version
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Dorothy
12 months ago
A) mlflow.register_model
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Youlanda
1 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
1 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
11 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
11 months ago
I agree, using mlflow.register_model is the way to go for this task.
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Freeman
11 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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