Question 10
Domain 1 — AI Concepts, Terminology, and Use CasesWhich of the following is commonly used to train an AI model to identify patterns in images?
Correct answer: C
Explanation
Convolutional Neural Networks (CNNs) are designed for image data because they use convolutional layers to detect visual features such as edges, shapes, and textures. This makes them widely used to train AI models to identify patterns in images.
Why each option is right or wrong
A. Decision trees
B. Random forest
C. Convolutional Neural Networks (CNNs)
Convolutional Neural Networks are the standard architecture for image recognition tasks because their convolutional layers apply learned filters across pixel grids to detect local features such as edges, corners, and textures, which are then combined into higher-level patterns. In practice, this makes them the model class most commonly selected when the task is to train an AI system on visual data rather than text or tabular inputs.
D. Linear regression