Q36 — AWS AIF-C01 Ch.1

Question 36 of 100 | ← Chapter 1

A company is building a chatbot to improve user experience. It plans to use Amazon Bedrock's foundation model (FM) for intent detection. The company wants to improve intent detection accuracy using few-shot learning. To meet these requirements, what data does the company need?

• A. Paired chatbot responses and correct user intents
• B. Paired user messages and correct chatbot responses
• C. Paired user messages and correct user intents ✓
• D. Paired user intents and correct chatbot responses

Correct Answer: C. Paired user messages and correct user intents

Explanation

This question tests understanding of the data required to improve chatbot intent detection accuracy via few-shot learning. To optimize intent detection, the model needs direct associations between user messages and their corresponding correct intents. Option A links responses to intents, option B links messages to responses, and option D links intents to responses—none directly support intent detection as effectively as option C, which pairs user messages with correct intents. Thus, the correct answer is C.