AIP-C01 Practice Question: Foundation Model Integration Data And Compliance
Which TWO of the following are valid ways to improve the relevance of retrieved documents in a RAG system?
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 metadata filtering to narrow the search space.
Metadata filtering and choosing an optimal chunking strategy are key levers to improve retrieval accuracy.
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 metadata filtering to narrow the search space.
Why this is correct
Filters improve precision.
- ✓
Apply a custom chunking strategy suited to the document format.
Why this is correct
Proper chunking improves semantic capture.
- ✗
Use a larger, more generic embedding model.
Why it's wrong here
Relevance is improved by domain-specific or optimized models, not just size.
- ✗
Increase the number of retrieved chunks to 1000.
Why it's wrong here
Too many chunks add noise and context window stress.
- ✗
Delete all indices and recreate them every hour.
Why it's wrong here
This is inefficient and unnecessary.
About these practice questions
One of 181 original AIP-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Amazon Web Services exam blueprint
This AIP-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 AIP-C01 exam.