Microsoft Azure AI Fundamentals AI-900 Practice Question

They create new content through patterns learned from training data - This is the correct answer. Generative AI solutions create new, original content by identifying and learning patterns from the data they are trained on. This allows them to generate new outputs, such as text, images, or music, that reflect those patterns and are not mere reproductions of the original data.

They generate outputs based on input data - While generative AI does create outputs, it specifically does so by learning patterns from training data rather than directly responding to input data. This option is more about how generative AI uses data to produce new content, but it doesn’t capture the full scope of how generative models work.

They classify input data into predefined categories - This feature is characteristic of classification models, not generative AI. Classification algorithms are designed to categorize input data into predefined classes or labels, such as identifying objects in an image or categorizing text, rather than creating new content.

They retrieve information without producing new content - This describes a retrieval-based AI system, not a generative one. Retrieval models focus on finding and returning relevant information from a predefined database or dataset without generating new content, such as search engines or information retrieval systems.