Microsoft Azure AI Fundamentals AI-900 Practice Question
An online retail company wants to enhance customer engagement by introducing a new feature on their website. They are considering various AI-powered solutions.
Which of the following would be an appropriate use of generative AI in this context?
Analyzing customer purchasing patterns to recommend products they might like.
Using image recognition to categorize new products uploaded by sellers.
Generating personalized product descriptions for each customer based on their browsing history.
Implementing a chatbot that provides customers with automated responses based on predefined scripts.
They create new content based on learned patterns - This is the correct answer. Generative AI models are specifically designed to create new content, such as text, images, or audio, by learning patterns and structures from the data they are trained on. Unlike other types of AI, which may focus on analysis or categorization, generative AI models focus on producing new, original outputs based on the patterns they've learned.
They analyze data to predict future trends - This characteristic is typical of predictive models, not generative AI.
They categorize data into labeled classes - This describes classification models, which categorize input data into predefined classes or categories.
They improve performance through feedback loops - This is a characteristic of many machine learning models, including reinforcement learning, but it doesn't specifically distinguish generative AI.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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