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AIF-C01 Practice Question: Which AWS service is used as a vector store in…
Which AWS service is used as a vector store in Amazon Bedrock Knowledge Bases for storing and retrieving embeddings?
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
Amazon Bedrock Knowledge Bases support several vector stores, including Amazon OpenSearch Serverless, Aurora pgvector, Pinecone, and MongoDB Atlas. OpenSearch Serverless is the AWS-native managed solution frequently used 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 DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database, not optimized for vector search.
- ✗
Amazon Redshift
Why it's wrong here
Amazon Redshift is a data warehousing service optimised for structured, tabular data and SQL-based analytics, not for storing and retrieving high-dimensional vector embeddings required by Bedrock Knowledge Bases. It lacks native support for approximate nearest neighbour (ANN) search on vector indexes, which is essential for semantic similarity queries. Redshift would be correct for storing structured metadata or logs alongside vector data, but only when paired with a separate vector store for embedding retrieval.
- ✓
Amazon OpenSearch Serverless
Why this is correct
Correct. OpenSearch Serverless provides vector database capabilities for Bedrock Knowledge Bases.
- ✗
Amazon S3
Why it's wrong here
S3 is object storage, not a vector store.
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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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.