Q43 — AWS AIF-C01 Ch.1

Question 43 of 100 | ← Chapter 1

A law firm wants to build an AI-powered application using a large language model (LLM) that reads legal documents and extracts key points. Which solution meets these requirements?

• A. Build an automated named entity recognition system.
• B. Create a recommendation engine.
• C. Develop a summarization chatbot. ✓
• D. Develop a multilingual translation system.

Correct Answer: C. Develop a summarization chatbot.

Explanation

This question tests understanding of LLM applications. The law firm needs an application that reads legal documents and extracts key points—requiring text comprehension and summarization capabilities. Option A, 'automated named entity recognition system,' identifies specific entities (e.g., names, locations) but does not directly support extracting key points from legal documents. Option B, 'recommendation engine,' suggests content based on user preferences and is unrelated to document analysis. Option C, 'summarization chatbot,' understands and condenses text into summaries—exactly matching the requirement to read legal documents and extract key points. Option D, 'multilingual translation system,' focuses on language translation and is not directly relevant. Thus, option C is the best solution.