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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 43 of 280

Single answer
You are an ML engineer at a global car manufacture. You need to build an ML model to predict car sales in different cities around the world. Which features or feature crosses should you use to train city-specific relationships between car type and number of sales?
AThee individual features: binned latitude, binned longitude, and one-hot encoded car type.
BOne feature obtained as an element-wise product between latitude, longitude, and car type.
COne feature obtained as an element-wise product between binned latitude, binned longitude, and one-hot encoded car type.
DTwo feature crosses as an element-wise product: the first between binned latitude and one-hot encoded car type, and the second between binned longitude and one-hot encoded car type.
Correct Answer: C

One feature obtained as an element-wise product between binned latitude, binned longitude, and one-hot encoded car type.

Explanation

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