Databricks Exam Databricks-Machine-Learning-Professional Topic 2 Question 10 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam

Question #: 10
Topic #: 2

[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 James at Mar 06, 2024, 10:46 AM

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Veronika

6 months ago

I'm not sure about mlflow.add_model_version, but I think mlflow.register_model is the more common operation for this.

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Dalene

6 months ago

But what about mlflow.add_model_version? Could that also be used for adding a new version?

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Izetta

6 months ago

I agree, mlflow.register_model is the right operation to use for this task.

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Paris

6 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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Detra

7 months ago

I believe MlflowClient.update_registered_model might be the operation needed to update the model version.

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Honey

7 months ago

I'm not sure, but I think mlflow.add_model_version could also be a valid option for adding a new version of the model.

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Tomas

7 months ago

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

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Fannie

7 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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