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AIF-C01 Practice Question: Select a vector store for their Amazon Bedrock…
A company needs to select a vector store for their Amazon Bedrock Knowledge Base. Which TWO options are supported as vector stores? (Choose TWO.)
⚠ Common exam trap
AIF-C01 often tests the distinction between general-purpose AWS databases and the specific vector stores that Bedrock Knowledge Bases actually supports, tricking candidates into selecting DynamoDB or Redshift because they are 'AWS data services.'
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 Aurora pgvector
Amazon Aurora pgvector (Option A) is a supported vector store for Amazon Bedrock Knowledge Bases because Aurora PostgreSQL supports the pgvector extension, allowing it to store and query embeddings via vector similarity search. Amazon OpenSearch Serverless (Option B) is also supported, as Bedrock Knowledge Bases can use an OpenSearch Serverless vector search collection as the backing vector index for embeddings. Amazon Redshift (Option C) is a data warehouse and is not a supported vector store for Bedrock Knowledge Bases. Amazon RDS for MySQL (Option D) does not natively support vector embeddings in the way required by Bedrock Knowledge Bases. Amazon DynamoDB (Option E) is a key-value and document database and is not a supported vector store for this purpose.
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 Aurora pgvector
Why this is correct
Amazon Aurora PostgreSQL supports the pgvector extension, and Amazon Bedrock Knowledge Bases can use it as a vector store for storing and querying embedded chunks. This satisfies the requirement for a supported vector store backing the knowledge base.
- ✓
Amazon OpenSearch Serverless
Why this is correct
Amazon OpenSearch Serverless provides a vector search collection that Amazon Bedrock Knowledge Bases natively integrates with as a supported vector store, storing embeddings and returning nearest-neighbour matches. This satisfies the requirement for a supported vector store.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a columnar data warehouse for SQL analytics, not a vector index, so Bedrock Knowledge Bases cannot query it for embeddings. It tempts as an AWS data service, yet the supported stores are OpenSearch Serverless, Aurora PostgreSQL with pgvector, and Neptune Analytics.
- ✗
Amazon RDS for MySQL
Why it's wrong here
RDS for MySQL has no native vector index, so Bedrock Knowledge Bases cannot retrieve embeddings from it. It tempts as a managed relational database, but the supported stores are OpenSearch Serverless, Aurora PostgreSQL with pgvector, and Neptune Analytics.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB stores items by primary key, not vectors, so it cannot serve as a Bedrock Knowledge Base vector store. It tempts as a familiar AWS NoSQL database, but Bedrock requires OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Neptune Analytics.
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 |
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About these practice questions
Courseiva writes every AIF-C01 question from scratch — 862 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 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.