AWS Certified AI Practitioner (AIF-C01) — Question 157

An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface.

Which solution will meet these requirements with the LEAST development effort?

Answer options

• A. Train models on Amazon SageMaker Autopilot.
• B. Develop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock.
• C. Create a Python application by using Amazon Q Developer.
• D. Fine-tune models on Amazon SageMaker Jumpstart.

Correct answer: B

Explanation

Option B is correct because developing a Retrieval Augmented Generation (RAG) agent using Amazon Bedrock allows leveraging existing models and knowledge bases with minimal coding, making it the most efficient choice. Options A and D involve more extensive training processes, which require more development effort, while option C to create a Python application would necessitate building a solution from scratch, leading to greater complexity.