AIF-C01 Applications of Foundation Models Practice Question
A company is using Amazon Bedrock to generate product descriptions. They notice that the model sometimes produces descriptions that contain factual errors about the products. Which TWO actions should they take to improve factual accuracy?
⚠ Common exam trap
The AIF-C01 exam often tests the misconception that tuning generation parameters (like temperature or max_tokens) can fix factual accuracy, when in reality only grounding techniques like RAG or curated few-shot examples address the underlying hallucination problem.
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
✓
Implement Retrieval Augmented Generation (RAG) with a product knowledge base
Retrieval Augmented Generation (RAG) grounds the model's output in a curated product knowledge base, allowing it to retrieve and cite authoritative facts during generation. This directly reduces hallucinations by ensuring the model references verified data rather than relying solely on its parametric memory.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement Retrieval Augmented Generation (RAG) with a product knowledge base
Why this is correct
RAG provides current, accurate information to the model.
- ✗
Reduce the temperature parameter to 0.1
Why it's wrong here
Lower temperature makes output more deterministic but does not fix factual errors.
- ✓
Use a curated prompt with few-shot examples of accurate descriptions
Why this is correct
Few-shot examples help the model understand the expected accuracy level.
- ✗
Increase the max_tokens to allow longer descriptions
Why it's wrong here
Longer output does not improve accuracy.
- ✗
Use human reviewers to correct errors after generation
Why it's wrong here
Human review is a workaround, not a model improvement.
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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.