hardMultiple Choice
AIF-C01 Practice Question: A financial services company uses Amazon Bedrock…
A financial services company uses Amazon Bedrock Knowledge Bases to power a Q&A bot for analysts. They notice that the bot sometimes gives outdated information because documents are updated weekly. They cannot retrain or rebuild the knowledge base weekly. What is the MOST efficient solution?
⚠ Common exam trap
Many candidates assume incremental ingestion is not supported or that a full rebuild is the only reliable method, but Bedrock Knowledge Bases explicitly provides incremental sync as a first-class feature to handle exactly this use case.
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
✓
Use incremental data ingestion to sync only the updated documents weekly
Amazon Bedrock Knowledge Bases supports incremental data ingestion, which allows you to sync only the documents that have changed since the last sync. This avoids the need to rebuild the entire knowledge base from scratch, saving time and compute resources while keeping the Q&A bot up to date with weekly document updates.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Rebuild the entire knowledge base from scratch every week using a scheduled job
Why it's wrong here
A full weekly rebuild re-embeds every document, consuming time and cost the stem explicitly rules out. It is tempting because rebuilding guarantees fresh embeddings, which suits one-off migrations or infrequent corpus changes, not continuous weekly synchronisation.
- ✓
Use incremental data ingestion to sync only the updated documents weekly
Why this is correct
Incremental ingestion re-synchronises only changed documents into the existing vector store, so the knowledge base reflects weekly updates without a full rebuild. This directly satisfies the constraint that retraining or rebuilding weekly is not possible, keeping the Q&A bot current with minimal compute and ingestion overhead.
- ✗
Set the chunk size to zero so the entire document is always retrieved
Why it's wrong here
Chunk size zero is invalid; Bedrock requires positive chunking, and retrieving whole documents cannot refresh stale content. It is tempting because larger chunks preserve context, which suits summarisation of short, static documents, but it does nothing to synchronise weekly updates.
- ✗
Use a Lambda function to manually delete and re‑upload all documents each week
Why it's wrong here
Deleting and re-uploading all documents weekly is the manual rebuild the stem forbids, and Lambda alone cannot detect changed files. It is tempting because re-uploading refreshes content, which suits small, rarely changing corpora, not scheduled incremental synchronisation.
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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.