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AWS Certified AI Practitioner · AWS
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
The requirement is to generate concise, feature-specific descriptions. The best way to achieve this is by giving the model clear, detailed, product-level instructions so it can tailor output accurately. This aligns with prompt specificity, which improves precision and relevance of LLM outputs.
I'd go with: D. Provide detailed, product-specific prompts to ensure precise and customized descriptions. Reasoning: Product-specific prompts give the LLM clear context and constraints, leading to more accurate, concise, and feature-focused descriptions. Detailed prompts generally produce higher-quality and more tailored outputs than generic prompts. Why the others are less suitable: A: One generic prompt followed by manual editing is inefficient and less scalable. B: Category-level prompts help somewhat, but product-specific prompts provide greater precision and customization. C: Including many diverse features may reduce conciseness and specificity. So the best choice is D IMO.
B is the correct answer