This AIF-C01 practice question tests your understanding of applications of foundation models. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is building a chatbot using Amazon Bedrock. They want to provide up-to-date information from a continuously changing database. Which TWO services can be used as a data source for a Bedrock knowledge base? (Select TWO.)
Amazon Kendra
A Kendra index can be used as a knowledge base source in Bedrock.
Amazon S3
S3 can store documents that are ingested into the knowledge base.
Amazon RDS for MySQL
Why wrong: RDS is not supported as a direct knowledge base source.
Amazon DynamoDB
Why wrong: DynamoDB is not supported as a direct knowledge base source.
AWS Glue
Why wrong: Glue is an ETL service, not a data source for knowledge bases.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Kendra
Amazon Bedrock knowledge bases can directly ingest data from Amazon S3, which is a supported data source for indexing documents. Amazon Kendra is also a supported data source, allowing Bedrock to leverage existing Kendra indexes for retrieval-augmented generation (RAG). Both services integrate natively with Bedrock knowledge bases to provide up-to-date information from continuously changing data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon Kendra
Why this is correct
A Kendra index can be used as a knowledge base source in Bedrock.
Related concept
Read the scenario before looking for a memorised answer.
Amazon S3
Why this is correct
S3 can store documents that are ingested into the knowledge base.
Related concept
Read the scenario before looking for a memorised answer.
Amazon RDS for MySQL
Why it's wrong here
RDS is not supported as a direct knowledge base source.
Amazon DynamoDB
Why it's wrong here
DynamoDB is not supported as a direct knowledge base source.
AWS Glue
Why it's wrong here
Glue is an ETL service, not a data source for knowledge bases.
Common exam traps
AWS often tests the misconception that any AWS database or data processing service can be a direct data source for Bedrock knowledge bases, but only S3, Kendra, and Salesforce are supported.
Detailed technical explanation
Under the hood, Bedrock knowledge bases use a vector store (e.g., Amazon OpenSearch Serverless) to index documents from supported sources. When data changes in S3, you can trigger an incremental sync using S3 event notifications to keep the knowledge base current. For Kendra, Bedrock can directly query the Kendra index without re-ingesting documents, making it ideal for real-time updates if Kendra is already syncing with the source database.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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FAQ
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kendra — Amazon Bedrock knowledge bases can directly ingest data from Amazon S3, which is a supported data source for indexing documents. Amazon Kendra is also a supported data source, allowing Bedrock to leverage existing Kendra indexes for retrieval-augmented generation (RAG). Both services integrate natively with Bedrock knowledge bases to provide up-to-date information from continuously changing data.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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