Q70 — AWS AIF-C01 Ch.1

Question 70 of 100 | ← Chapter 1

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides this self-improvement capability?

• A. Supervised learning using a dataset of human-edited good and bad responses.
• B. Reinforcement learning that rewards positive customer feedback. ✓
• C. Unsupervised learning to identify clusters of similar customer inquiries.
• D. Supervised learning using a frequently updated FAQ database.

Correct Answer: B. Reinforcement learning that rewards positive customer feedback.

Explanation

This question tests understanding of AI learning strategies. The scenario describes improvement via experience—learning from interactions and resources. Supervised learning (A and D) relies on pre-labeled datasets and does not inherently enable autonomous improvement from live interactions. Unsupervised learning (C) discovers patterns but does not directly optimize response quality. Reinforcement learning (B) optimizes behavior through reward signals—e.g., rewarding positive feedback—enabling iterative, experience-driven improvement without labeled data. Therefore, option B best fulfills the requirement.