AIF-C01 Practice Question 7: RAG Changing Internal Docs

AWS Certified AI Practitioner (AIF-C01) · Test 1 · question 7 of 10

Applications of Foundation Modelsmedium

An HR department wants a generative AI assistant that answers employee questions using the company's internal policy documents. The policies are updated every few weeks, answers must reflect the latest version, and each answer should show which document it came from. What is the most suitable approach?

Show answer and explanation

Answer:

A. Use retrieval-augmented generation, retrieving relevant passages from an indexed copy of the policies and adding them to the prompt

Retrieval-augmented generation (RAG) looks up the passages most relevant to a question in an external data source and adds them to the prompt, so the model answers from that content. When a policy changes, you only re-index the documents; the model isn't retrained. Because the answer is grounded in specific retrieved passages, the application can cite its sources (option A). Amazon Bedrock Knowledge Bases is the managed way to build this on AWS.

- B is wrong because fine-tuning costs time and money on every change, the model can still misstate what it learned, and it can't cite the document behind an answer. - C is wrong because pre-training from scratch is the most expensive option by far and goes out of date just as quickly. - D is wrong because an instruction alone doesn't give the model the policy content. It would answer from its general training data and could hallucinate.

Reference: Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases

Practice Test 1 ›

Study guides for AIF-C01

AI engineer roadmap 2026: skills, certs and the orderAI engineer roadmap for 2026: skills to learn in order, AI engineer vs ML engineer, which certifications fit each stage, and what to skip.

How AI Is Changing Software Jobs: Where to PrepareHow AI is changing software jobs: what history shows, the evidence on junior developers, what Klarna learned, new AI roles and five domains to prepare for.

How AWS Certification Exams Work: Scoring and RenewalHow AWS certification exams work: levels, booking, question types, unscored questions, scaled scores, pass marks, validity and how recertification works.

What Is Amazon Bedrock? Models, Pricing and GuardrailsWhat is Amazon Bedrock? How a request reaches a model, what happens to your data, token pricing, Guardrails, Knowledge Bases, AgentCore and the exam traps.

Google Cloud Generative AI Leader vs AWS AI PractitionerGoogle Cloud Generative AI Leader vs AWS AI Practitioner: format, cost, topics, free preparation and which certification to take first.

AWS certification cost in 2026, and free ways to prepareWhat every AWS certification costs in 2026 in USD and INR, retake and reschedule rules, the 50% voucher, and the free official ways to prepare.

AWS Generative AI Developer Professional (AIP-C01) guideWhat the AWS Certified Generative AI Developer – Professional (AIP-C01) exam covers - format, cost, the five domains, the services, and how to prepare.

Best AI certifications 2026: AWS, Google, Microsoft, ClaudeThe best AI certifications in 2026 from AWS, Google, Microsoft, Claude and Databricks, by level, with price, status and which one to take first.

Which AWS certification should you get? 2026 roadmapWhich AWS certification to get first, by role and experience, with each exam's status in October 2026, what is changing, and prices in USD and INR.

What Is RAG? How Retrieval-Augmented Generation WorksWhat RAG is and how it works: chunking, embeddings, vector search, hybrid search, reranking, GraphRAG and agentic RAG on AWS, Google and Azure.

Prompt engineering vs RAG vs fine-tuningWhen to use prompt engineering, retrieval-augmented generation, fine-tuning or continued pre-training, compared on cost, freshness, hallucination and privacy.