- A
Set the model temperature to 0
Why wrong: Temperature controls randomness, not knowledge source.
- B
Use a fine-tuned model that has only seen the company's documents
Why wrong: Fine-tuning does not prevent the model from using internal knowledge.
- C
Enable the 'Only use retrieved context' option in the Knowledge Base configuration
This option restricts the model to answer strictly from the retrieved documents.
- D
Use a Guardrail with topic denial for out-of-scope topics
Why wrong: Topic denial blocks topics but does not force the model to use only retrieved context.
Question 2 of 1,000
hardMultiple ChoiceObjective-mapped
AIF-C01 Practice Question: Building a RAG application using Amazon Bedrock…
This AIF-C01 practice question tests your understanding of aif-c01 exam topics. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 is building a RAG application using Amazon Bedrock Knowledge Bases. They want to ensure that the model only answers based on the retrieved documents and does not use its internal knowledge. Which configuration should they use?
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
✓
Enable the 'Only use retrieved context' option in the Knowledge Base configuration
Option C is correct because Amazon Bedrock Knowledge Bases provides a specific configuration toggle called 'Only use retrieved context' that forces the foundation model to generate responses solely from the information in the retrieved document chunks, ignoring any internal knowledge the model may have been trained on. This ensures strict adherence to the retrieved context, which is critical for RAG applications requiring factual grounding.
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.
- ✗
Set the model temperature to 0
Why it's wrong here
Temperature controls randomness, not knowledge source.
- ✗
Use a fine-tuned model that has only seen the company's documents
Why it's wrong here
Fine-tuning does not prevent the model from using internal knowledge.
- ✓
Enable the 'Only use retrieved context' option in the Knowledge Base configuration
Why this is correct
This option restricts the model to answer strictly from the retrieved documents.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a Guardrail with topic denial for out-of-scope topics
Why it's wrong here
Topic denial blocks topics but does not force the model to use only retrieved context.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse model temperature or fine-tuning with retrieval grounding, but neither mechanism restricts the model from using its internal knowledge; only the explicit 'Only use retrieved context' toggle in Amazon Bedrock Knowledge Bases enforces that constraint.
Detailed technical explanation
How to think about this question
The 'Only use retrieved context' option works by modifying the prompt template sent to the foundation model, instructing it to base its answer solely on the provided context and to respond with 'I don't know' if the answer is not found in the context. Under the hood, Bedrock Knowledge Bases retrieves the top-K relevant chunks from the vector index, appends them to the prompt, and sets a system message that overrides the model's default behavior. In real-world scenarios, this is essential for compliance-heavy industries (e.g., legal, healthcare) where unverified model knowledge could lead to incorrect or harmful answers.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Related practice questions
Related AIF-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Applications of Foundation Models practice questions
Practise AIF-C01 questions linked to Applications of Foundation Models.
AI and ML Fundamentals practice questions
Practise AIF-C01 questions linked to AI and ML Fundamentals.
Security, Compliance, and Governance for AI Solutions practice questions
Practise AIF-C01 questions linked to Security, Compliance, and Governance for AI Solutions.
Fundamentals of AI and ML practice questions
Practise AIF-C01 questions linked to Fundamentals of AI and ML.
Fundamentals of Generative AI practice questions
Practise AIF-C01 questions linked to Fundamentals of Generative AI.
Generative AI and Foundation Models practice questions
Practise AIF-C01 questions linked to Generative AI and Foundation Models.
Guidelines for Responsible AI practice questions
Practise AIF-C01 questions linked to Guidelines for Responsible AI.
Security, Compliance and Governance for AI Solutions practice questions
Practise AIF-C01 questions linked to Security, Compliance and Governance for AI Solutions.
AIF-C01 fundamentals practice questions
Practise AIF-C01 questions linked to AIF-C01 fundamentals.
AIF-C01 scenario practice questions
Practise AIF-C01 questions linked to AIF-C01 scenario.
AIF-C01 troubleshooting practice questions
Practise AIF-C01 questions linked to AIF-C01 troubleshooting.
Practice this exam
Start a free AIF-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this AIF-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Enable the 'Only use retrieved context' option in the Knowledge Base configuration — Option C is correct because Amazon Bedrock Knowledge Bases provides a specific configuration toggle called 'Only use retrieved context' that forces the foundation model to generate responses solely from the information in the retrieved document chunks, ignoring any internal knowledge the model may have been trained on. This ensures strict adherence to the retrieved context, which is critical for RAG applications requiring factual grounding.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
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
More AIF-C01 practice questions
- A data scientist is fine-tuning a foundation model on Amazon Bedrock for a custom summarization task. Which THREE practi…
- A company uses a foundation model for real-time translation in a chat application. The latency is high. Which optimizati…
- A developer is using the Amazon Bedrock API to generate text. They notice that the model sometimes returns harmful conte…
- Refer to the exhibit. A user invokes Claude v2 using the AWS CLI. The response is truncated. What is the most likely cau…
- A company wants to automatically detect anomalies in server metrics. Which algorithm is most appropriate?
- A company uses Amazon SageMaker to train a model. The training job fails with 'InsufficientInstanceCapacity' error. What…
Last reviewed: Jul 4, 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.