- A
Amazon Bedrock with RAG
Bedrock with RAG can retrieve from documentation and generate answers using foundation models.
- B
Amazon Polly
Why wrong: Polly converts text to speech, not suitable for answering questions.
- C
Amazon Q Business
Amazon Q Business is designed for enterprise chatbots that can answer questions using company data.
- D
Amazon Transcribe
Why wrong: Transcribe converts speech to text, not for generating answers.
- E
Amazon Lex
Why wrong: Lex provides conversational interfaces but lacks built-in RAG; you would need to integrate it with a knowledge base separately.
Quick Answer
The correct answer is Amazon Bedrock with Retrieval Augmented Generation (RAG) and Amazon Q Business. Bedrock with RAG works by first converting your company’s documentation into vector embeddings stored in a knowledge base, then retrieving the most relevant chunks when a user asks a question, and finally passing those chunks to a foundation model to generate a grounded, citation-backed answer. Amazon Q Business is a fully managed, out-of-the-box conversational service that can be connected directly to enterprise data sources like S3 or SharePoint to answer queries without custom coding. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of which services natively support document-based Q&A versus those that only handle conversation flow or speech. A common trap is choosing Amazon Lex, which builds chatbot interfaces but lacks built-in retrieval from documentation. Memory tip: think “Bedrock RAG for custom retrieval, Q Business for ready-made enterprise answers.”
AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative ai. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO AWS services can be used to build a chatbot that responds to customer inquiries using a company's documentation as source? (Select two.)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Bedrock with RAG
Options B (Amazon Bedrock with RAG) and C (Amazon Q Business) are correct. Bedrock with RAG retrieves from the documentation to generate answers, and Amazon Q Business is a conversational service that can use enterprise data. Option A (Amazon Lex) can build chatbots but requires integration for documentation retrieval. Option D (Amazon Polly) is text-to-speech. Option E (Amazon Transcribe) is speech-to-text.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon Bedrock with RAG
Why this is correct
Bedrock with RAG can retrieve from documentation and generate answers using foundation models.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Polly
Why it's wrong here
Polly converts text to speech, not suitable for answering questions.
- ✓
Amazon Q Business
Why this is correct
Amazon Q Business is designed for enterprise chatbots that can answer questions using company data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Transcribe
Why it's wrong here
Transcribe converts speech to text, not for generating answers.
- ✗
Amazon Lex
Why it's wrong here
Lex provides conversational interfaces but lacks built-in RAG; you would need to integrate it with a knowledge base separately.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Fundamentals of Generative AI — study guide chapter
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Fundamentals of Generative AI practice questions
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Bedrock with RAG — Options B (Amazon Bedrock with RAG) and C (Amazon Q Business) are correct. Bedrock with RAG retrieves from the documentation to generate answers, and Amazon Q Business is a conversational service that can use enterprise data. Option A (Amazon Lex) can build chatbots but requires integration for documentation retrieval. Option D (Amazon Polly) is text-to-speech. Option E (Amazon Transcribe) is speech-to-text.
What should I do if I get this AIF-C01 question wrong?
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.
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