AIP-C01 Practice Question: Foundation Model Integration Data And Compliance
A company is building a RAG application on Amazon Bedrock. They need to store embeddings for a large-scale knowledge base with low-latency similarity search and full integration with LangChain. Which vector database should the developer recommend?
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 vector engine
Amazon OpenSearch Serverless with the vector engine is the native choice for Bedrock RAG workflows, offering seamless integration and scalability.
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 with global secondary indexes
Why it's wrong here
DynamoDB is a NoSQL database not optimized for vector similarity search.
- ✗
Amazon Aurora PostgreSQL without pgvector
Why it's wrong here
While Aurora supports vector search via pgvector, the prompt implies a serverless search engine requirement.
- ✗
Amazon S3 with Athena query engine
Why it's wrong here
S3 is object storage and does not support real-time vector similarity search.
- ✓
Amazon OpenSearch Serverless vector engine
Why this is correct
OpenSearch Serverless vector engine is purpose-built for high-performance vector search in GenAI applications.
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 |
About these practice questions
This AIP-C01 question is part of Courseiva's 181-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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 August 2026 · checked against the official Amazon Web Services exam blueprint
This AIP-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 AIP-C01 exam.