Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A travel company already runs a generative AI chatbot that answers questions about its booking policies.
It now wants a system that, given the goal 'rebook this customer's canceled flight', decides its own steps, calls the airline and payment APIs, checks each result and retries failed calls.
Which kind of AI describes the new system?
Choose one answer.
AA. Agentic AI that plans steps and uses tools to act towards a goal.
BB. A computer vision model that classifies photos of boarding passes.
CC. A clustering model that groups customers by their travel history.
DD. A larger generative AI chatbot that writes longer and more detailed answers.
Show the answer and explanation
Answer: A
A. Right: Correct. An agent breaks a goal into steps, calls external tools and APIs, and checks the results. That matches the rebooking system the company wants. Learn more: What are AI agents? (opens in a new tab)
B. Wrong: Computer vision classifies images. It could read a boarding pass, but it does not plan a rebooking or call booking systems.
C. Wrong: Clustering groups similar records without labels and does not act on them. It cannot rebook a flight or take a payment.
D. Wrong: A chatbot that writes longer answers still only generates text. It cannot call APIs or take actions toward the customer's goal.
Explanation
A generative AI chatbot produces answers, while an AI agent plans steps and uses tools to reach a goal. The rebooking system must decide what to do, act through APIs and check outcomes, so it is agentic. This question tests recognizing agentic behavior from the description of what the system must do.
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