Google Cloud Professional Machine Learning Engineer — Question 110

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?

Answer options

• A. Reinforcement learning
• B. Recommender system
• C. Recurrent Neural Networks (RNN)
• D. Convolutional Neural Networks (CNN)

Correct answer: D

Explanation

The correct choice is Convolutional Neural Networks (CNN) as they are specifically designed for processing image data and can efficiently extract features while minimizing computational demands. Reinforcement learning and recommender systems are not suitable for image classification tasks, and while Recurrent Neural Networks (RNN) are effective for sequential data, they are not optimized for image processing.