Exam Certified Machine Learning Associate topic 1 question 44 discussion

Actual exam question from Databricks's Certified Machine Learning Associate

Question #: 44
Topic #: 1

[All Certified Machine Learning Associate Questions]

A machine learning engineer is trying to perform batch model inference. They want to get predictions using the linear regression model saved at the path model_uri for the DataFrame batch_df. batch_df has the following schema: customer_id STRING
The machine learning engineer runs the following code block to perform inference on batch_df using the linear regression model at model_uri:

In which situation will the machine learning engineer’s code block perform the desired inference?

A. When the Feature Store feature set was logged with the model at model_uri
B. When all of the features used by the model at model_uri are in a Spark DataFrame in the PySpark
C. When the model at model_uri only uses customer_id as a feature
D. This code block will not perform the desired inference in any situation.
E. When all of the features used by the model at model_uri are in a single Feature Store table

Show Suggested Answer

Suggested Answer: A 🗳️

by momosoundz at Oct. 9, 2024, 5:40 p.m.

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oliver29

1 month, 3 weeks ago

Selected Answer: C

This is the only situation guaranteed to work with the given batch_df schema since no additional feature engineering or enrichment is explicitly mentioned.

upvoted 1 times

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momosoundz

3 months, 4 weeks ago

Selected Answer: D

This code block will not perform the desired inference in any situation. Explanation: The issue lies in the fact that the DataFrame (batch_df) only contains one column, customer_id, which is a STRING. Linear regression models typically use numerical or categorical features for training, and it is highly unlikely that a customer_id alone (which is usually an identifier and not a feature) was used to train the model.

upvoted 1 times

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Exam Certified Machine Learning Associate topic 1 question 44 discussion

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oliver29

momosoundz

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