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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 10 of 280

Single answer
Your team needs to build a model that predicts whether images contain a driver's license, passport, or credit card. The data engineering team already built the pipeline and generated a dataset composed of 10,000 images with driver's licenses, 1,000 images with passports, and 1,000 images with credit cards. You now have to train a model with the following label map: [`˜drivers_license', `˜passport', `˜credit_card']. Which loss function should you use?
ACategorical hinge
BBinary cross-entropy
CCategorical cross-entropy
DSparse categorical cross-entropy
Correct Answer: C

Categorical cross-entropy

Explanation

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