Databricks Exam Databricks-Machine-Learning-Professional Topic 6 Question 23 Discussion

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

Question #: 23
Topic #: 6

[All Databricks-Machine-Learning-Professional Questions]

A data scientist has developed a scikit-learn random forest model model, but they have not yet logged model with MLflow. They want to obtain the input schema and the output schema of the model so they can document what type of data is expected as input.

Which of the following MLflow operations can be used to perform this task?

Amlflow.models.schema.infer_schema

Bmlflow.models.signature.infer_signature

Cmlflow.models.Model.get_input_schema

Dmlflow.models.Model.signature

EThere is no way to obtain the input schema and the output schema of an unlogged model.

Show Suggested Answer

Suggested Answer: A

by Jaclyn at Aug 23, 2024, 02:33 PM

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4 months ago

Tom

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Mendy

2 months ago

D) mlflow.models.Model.signature

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Dominque

3 months ago

C) mlflow.models.Model.get_input_schema

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Nickole

3 months ago

B) mlflow.models.signature.infer_signature

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Galen

3 months ago

A) mlflow.models.schema.infer_schema

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