Q33 — AWS AIF-C01 Ch.3

Question 33 of 100 | ← Chapter 3

An e-commerce company wants to generate personalized product descriptions for its online store. Which prompt engineering technique will satisfy these requirements with minimal operational effort?

• A. Few-shot prompting using well-written product description examples ✓
• B. Zero-shot prompting without any examples
• C. Fine-tuning optimized based on customer engagement metrics
• D. Continued pre-training across different domains

Correct Answer: A. Few-shot prompting using well-written product description examples

Explanation

To efficiently generate personalized product descriptions, few-shot prompting using high-quality examples allows the model to quickly adapt and produce customer-aligned outputs. Compared to zero-shot prompting (which often yields lower fidelity), fine-tuning (a longer, more resource-intensive process), or continued pre-training (focused on broad generalization rather than task-specific customization), few-shot prompting delivers personalized results with minimal operational overhead. Thus, option A is optimal.