Question 2
Domain 1 — AI Concepts, Terminology, and Use CasesISACA AI Fundamentals Certification Practice Exam 3 AI Fundamentals Exam Questions Which 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 convolution filters to detect visual features like 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 because convolution layers apply learned filters across pixel grids to detect local features such as edges, contours, and textures, then combine them into higher-level patterns. In practice, this makes them the model class most commonly used for training on image datasets, unlike fully connected networks that do not exploit the 2D spatial structure of images.
D. Linear regression