This AIF-C01 practice question tests your understanding of applications of foundation models. 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.
A company uses Amazon Bedrock to build a chatbot. The chatbot needs to answer questions based on internal company documents. Which AWS service should be integrated with Bedrock to enable Retrieval Augmented Generation (RAG) without managing infrastructure?
Amazon OpenSearch Service
Why wrong: OpenSearch can be used but requires more manual setup and is not as straightforward as Kendra.
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database and not a search engine; it's not designed for RAG.
Amazon RDS
Why wrong: RDS is a relational database; it lacks the search indexing capabilities needed for RAG.
Amazon Kendra
Kendra provides managed search with connectors to documents, ideal for RAG.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Kendra
Amazon Kendra is a fully managed intelligent search service that can be directly integrated with Amazon Bedrock to implement Retrieval Augmented Generation (RAG) without any infrastructure management. It indexes internal company documents and retrieves relevant passages, which are then passed to the foundation model as context to generate accurate, grounded answers.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon OpenSearch Service
Why it's wrong here
OpenSearch can be used but requires more manual setup and is not as straightforward as Kendra.
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database and not a search engine; it's not designed for RAG.
Amazon RDS
Why it's wrong here
RDS is a relational database; it lacks the search indexing capabilities needed for RAG.
Amazon Kendra
Why this is correct
Kendra provides managed search with connectors to documents, ideal for RAG.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
AWS often tests the distinction between managed services that require infrastructure management (like OpenSearch Service) and fully managed services (like Kendra) that abstract away all infrastructure concerns, making candidates incorrectly choose OpenSearch for its search capabilities.
Detailed technical explanation
Amazon Kendra uses deep learning models to understand natural language queries and returns the most relevant document excerpts with confidence scores. When integrated with Bedrock via the RetrieveAndGenerate API, Kendra handles the entire retrieval pipeline — including document ingestion, chunking, and embedding — so the foundation model only receives the context it needs, reducing hallucination risk. In a real-world scenario, a company with thousands of PDFs and Word documents can point Kendra to an S3 bucket and have it automatically crawl and index the content without writing any custom code.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Applications of Foundation Models — study guide chapter
Learn the concepts, then practise the questions
Applications of Foundation Models practice questions
Targeted practice on this topic area only
All AIF-C01 questions
500 questions across all exam domains
AWS Certified AI Practitioner AIF-C01 study guide
Full concept coverage aligned to exam objectives
AIF-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AIF-C01 questions linked to Applications of Foundation Models.
Practise AIF-C01 questions linked to Fundamentals of AI and ML.
Practise AIF-C01 questions linked to Fundamentals of Generative AI.
Practise AIF-C01 questions linked to Guidelines for Responsible AI.
Practise AIF-C01 questions linked to Security, Compliance and Governance for AI Solutions.
Practise AIF-C01 questions linked to AIF-C01 fundamentals.
Practise AIF-C01 questions linked to AIF-C01 scenario.
Practise AIF-C01 questions linked to AIF-C01 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kendra — Amazon Kendra is a fully managed intelligent search service that can be directly integrated with Amazon Bedrock to implement Retrieval Augmented Generation (RAG) without any infrastructure management. It indexes internal company documents and retrieves relevant passages, which are then passed to the foundation model as context to generate accurate, grounded answers.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
Last reviewed: Jun 30, 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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.