Google Exam Professional Machine Learning Engineer Topic 2 Question 95 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 95
Topic #: 2

[All Professional Machine Learning Engineer Questions]

You are an ML engineer at a manufacturing company. You need to build a model that identifies defects in products based on images of the product taken at the end of the assembly line. You want your model to preprocess the images with lower computation to quickly extract features of defects in products. Which approach should you use to build the model?

AReinforcement learning

BRecommender system

CRecurrent Neural Networks (RNN)

DConvolutional Neural Networks (CNN)

Show Suggested Answer

Suggested Answer: D

by Dell at Jan 13, 2025, 09:25 PM

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Rebecka

5 days ago

I was thinking RNN might work, but CNN is probably a better fit since we're dealing with images rather than sequential data.

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Vashti

12 days ago

CNN is definitely the way to go here. It's designed to efficiently process and extract features from images, which is exactly what this problem requires.

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