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AIF-C01 Practice Question: A developer is building a RAG application on…
A developer is building a RAG application on Amazon Bedrock. They notice that the model sometimes generates answers that are not supported by the retrieved documents. To reduce this, they want to enforce that the model only uses the provided context. Which Bedrock feature 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 'grounding' in Bedrock Guardrails
Bedrock Guardrails' grounding check ensures the model's response is grounded in the provided source documents, reducing hallucinations. The other options do not enforce 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.
- ✓
Enable 'grounding' in Bedrock Guardrails
Why this is correct
Grounding check forces the model to stick to the retrieved context.
- ✗
Increase the number of retrieved documents
Why it's wrong here
More documents may not reduce hallucination if the model ignores them.
- ✗
Use a larger context window model
Why it's wrong here
Larger context does not guarantee grounding.
- ✗
Adjust the temperature parameter to 0
Why it's wrong here
Lower temperature reduces randomness but does not enforce grounding.
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JA
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.