Q78 — AWS AIF-C01 Ch.3

Question 78 of 100 | ← Chapter 3

A university wants to build an application using foundation models (FMs) to help students solve math problems from practice exams. The application should provide reasoning and step-by-step explanations to help students understand why answers are correct or incorrect. Which technique most reliably enhances FM capabilities for this use case?

• A. Single-shot prompting
• B. Few-shot prompting
• C. Retrieval-Augmented Generation (RAG)
• D. Chain-of-Thought (CoT) ✓

Correct Answer: D. Chain-of-Thought (CoT)

Explanation

To help students solve math problems from practice exams—and critically, to explain *why* answers are right or wrong—the model must demonstrate robust reasoning and step-by-step justification. Chain-of-Thought (CoT) prompting explicitly guides the model to generate intermediate reasoning steps before arriving at the final answer, significantly improving accuracy and interpretability for mathematical and logical reasoning tasks. While RAG and few-shot prompting offer value, CoT is the most reliable and directly applicable technique for enhancing reasoning transparency in this context.