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?
Generating personalized product descriptions for each customer based on their browsing history.
Analyzing customer purchasing patterns to recommend products they might like.
Using image recognition to categorize new products uploaded by sellers.
Implementing a chatbot that provides customers with automated responses based on predefined scripts.
Generating personalized product descriptions uses a text-generation model that creates new, tailored content for each visitor based on patterns learned from their browsing data. This is a clear example of generative AI, which focuses on producing novel outputs rather than selecting from fixed templates.
The other options are not generative:
A scripted chatbot simply retrieves predefined replies, so no new content is generated.
Analyzing purchasing patterns to recommend items is predictive analytics, concerned with forecasting rather than content creation.
Image recognition that categorizes uploads is a classification task in computer vision, not content generation.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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