Q60 — AWS AIF-C01 Ch.1

Question 60 of 100 | ← Chapter 1

An educational institution is developing a question-and-answer application that uses generative AI foundation models to explain complex concepts. The institution wants the model’s response style to automatically adapt based on the asker’s profile (e.g., age group). Which solution meets these requirements with minimal implementation effort?

• A. Fine-tune the model using additional training data representing different age groups supported by the application.
• B. Include role descriptions in the prompt context to instruct the model to tailor responses for a specific age group. ✓
• C. Use chain-of-thought reasoning to infer the appropriate response style and complexity for the user.
• D. Summarize response text based on user age to deliver shorter replies for younger users.

Correct Answer: B. Include role descriptions in the prompt context to instruct the model to tailor responses for a specific age group.

Explanation

This question tests solutions for adaptive response generation in education. To dynamically adjust response style per user profile, Option B—adding role-based instructions in the prompt—is lightweight, requires no retraining or infrastructure changes, and directly guides the model’s output behavior. Option A’s fine-tuning demands significant data curation and compute resources. Option C’s chain-of-thought adds latency and complexity. Option D’s post-hoc summarization lacks nuance and flexibility. Hence, Option B delivers the required adaptation with minimal implementation effort.