hardMultiple Choice
AIF-C01 Practice Question: Building a RAG application using Amazon Bedrock…
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?
⚠ Common exam trap
Watch out — 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.
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
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.
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
Constraining generation to retrieved passages is exactly what the 'Only use retrieved context' setting enforces, so the model cannot fall back on its pretrained parametric knowledge. This satisfies the stem's requirement that answers derive solely from the ingested documents.
- ✗
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.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.