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AIF-C01 Practice Question: A team has created a knowledge base in Amazon…
A team has created a knowledge base in Amazon Bedrock for a Q&A application. After updating the source documents, they notice that the model still returns old information. What is the MOST likely cause?
⚠ Common exam trap
AIF-C01 often tests the operational aspects of Bedrock Knowledge Bases, and candidates may overlook the need for manual or automated resynchronization, instead blaming model limitations or guardrails.
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
✓
The knowledge base has not been resynchronized after updating the documents
When source documents in an Amazon Bedrock knowledge base are updated, the knowledge base must be resynchronized to ingest the changes. Without resynchronization, the vector embeddings and index still reflect the old documents, so the model continues to retrieve outdated information.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The chunking strategy is incorrect
Why it's wrong here
Chunking affects how documents are split and retrieved, but stale answers after a source update point to the vector index not being re-synced. Chunking is tempting because poor splits do degrade retrieval quality, and it would be correct when relevant passages are missed despite the index containing current content.
- ✗
The foundation model has a limited context window
Why it's wrong here
A limited context window constrains how much retrieved text the model can process per request, not whether the index holds current content. It is tempting because truncation can drop relevant passages, and it would be the right answer when prompts exceed the model's token limit and earlier content is silently discarded.
- ✗
The guardrails are filtering out the new information
Why it's wrong here
Guardrails filter or block content by policy categories; they do not substitute old documents for new ones. It is tempting because filtering can suppress legitimate answers, and it would be correct when responses are refused or redacted despite the knowledge base holding accurate, current information.
- ✓
The knowledge base has not been resynchronized after updating the documents
Why this is correct
Amazon Bedrock knowledge bases only reflect source changes after an ingestion job re-synchronises the data source; editing documents alone leaves the existing vector embeddings untouched. Because the stem describes stale answers following a document update, resynchronisation is the missing step that regenerates embeddings and restores accurate retrieval.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.