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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Annamae

3 days ago

I think we should use Convolutional Neural Networks (CNN) for this task.

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