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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?

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Suggested Answer: A

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

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Florinda
3 months ago
I believe option B) is the correct one because it specifically mentions inferring the signature, which includes the input and output schema.
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Kimi
3 months ago
I'm not sure, but I think option A) mlflow.models.schema.infer_schema might also work.
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Elfriede
3 months ago
I agree with Harris. That option makes sense to infer the input and output schema.
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Harris
4 months ago
I think option B) mlflow.models.signature.infer_signature can be used.
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Lorriane
4 months ago
Tom
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Mendy
3 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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