mediumMultiple ChoiceObjective-mapped
AIF-C01 Practice Question: Implementing a Retrieval-Augmented Generation…
A company is implementing a Retrieval-Augmented Generation (RAG) pipeline with Amazon Bedrock Knowledge Bases. They need to store vector embeddings for their documents. Which vector store options are natively supported by Bedrock Knowledge Bases?
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
✓
Amazon OpenSearch Serverless, Pinecone, MongoDB Atlas, and Amazon Aurora pgvector
Bedrock Knowledge Bases natively integrates with several vector stores, including Amazon OpenSearch Serverless, Pinecone, and MongoDB Atlas. Amazon Aurora pgvector is also supported but through Aurora's PostgreSQL compatibility. All four are valid options.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon OpenSearch Serverless, Pinecone, MongoDB Atlas, and Amazon Aurora pgvector
Why this is correct
All four are supported vector store options for Bedrock Knowledge Bases.
- ✗
Only Pinecone and Amazon OpenSearch Serverless
Why it's wrong here
This excludes MongoDB Atlas and Aurora pgvector, which are also supported.
- ✗
Amazon DynamoDB and Amazon RDS for MySQL
Why it's wrong here
DynamoDB and RDS MySQL are not natively supported as vector stores for Bedrock Knowledge Bases.
- ✗
Only Amazon OpenSearch Serverless
Why it's wrong here
Bedrock Knowledge Bases supports multiple vector stores, not just OpenSearch Serverless.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
About these practice questions
Courseiva writes every AIF-C01 question from scratch — 619 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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.