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AIF-C01 · Question #4

A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files. Which solution meets these…

The correct answer is A. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is. Using Amazon Bedrock with large language models (LLMs) allows for efficient utilization of AI to answer queries based on context provided in product manuals. To achieve this cost-effectively, the company should avoid unnecessary use of resources.

Submitted by certguy· Mar 30, 2026Generative AI on AWS

Question

A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files. Which solution meets these requirements MOST cost-effectively?

Options

  • AUse prompt engineering to add one PDF file as context to the user prompt when the prompt is
  • BUse prompt engineering to add all the PDF files as context to the user prompt when the prompt is
  • CUse all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model
  • DUpload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to

How the community answered

(20 responses)
  • A
    60% (12)
  • B
    10% (2)
  • C
    25% (5)
  • D
    5% (1)

Explanation

Using Amazon Bedrock with large language models (LLMs) allows for efficient utilization of AI to answer queries based on context provided in product manuals. To achieve this cost-effectively, the company should avoid unnecessary use of resources.

Topics

#Amazon Bedrock#LLM applications#Retrieval Augmented Generation (RAG)#Cost optimization

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