easyMultiple Choice
AIF-C01 Practice Question: Which vector store is a fully managed AWS service…
Which vector store is a fully managed AWS service that can be used with Amazon Bedrock Knowledge Bases for semantic search?
⚠ Common exam trap
Test-takers frequently confuse general-purpose databases or storage services (like DynamoDB, RDS, or S3) with purpose-built vector stores, assuming any database can perform semantic search if it stores data, but AWS specifically requires a vector store with native ANN indexing for 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
Amazon OpenSearch Serverless is a fully managed AWS service that provides a vector store capability, which is required for semantic search in Amazon Bedrock Knowledge Bases. It supports vector indexing and similarity search, enabling efficient retrieval of relevant documents based on embedding vectors. Other options like DynamoDB, RDS for MySQL, and S3 are not purpose-built vector stores and lack the native vector search functionality needed for this use case.
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 stores items by primary key, not embeddings, so it cannot perform the vector similarity search Knowledge Bases requires; the correct choice is a purpose-built vector store. It is tempting because DynamoDB is fully managed and often already holds application data, but that role is transactional key-value storage, not semantic retrieval.
- ✗
Amazon RDS for MySQL
Why it's wrong here
Amazon RDS for MySQL is a relational database and is not a supported vector store for Bedrock Knowledge Bases; it cannot perform the semantic similarity search the stem requires. It is tempting because RDS is fully managed, but the managed vector store option is Amazon OpenSearch Serverless.
- ✗
Amazon S3
Why it's wrong here
Amazon S3 stores objects and is a supported data source for Knowledge Bases, but it is not a vector store and performs no semantic similarity search. It is tempting because S3 holds the source documents, yet the fully managed vector store for Bedrock Knowledge Bases is Amazon OpenSearch Serverless.
- ✓
Amazon OpenSearch Serverless
Why this is correct
Amazon OpenSearch Serverless provides a fully managed vector engine with k-NN search, and Bedrock Knowledge Bases integrates with it natively as a vector store. This satisfies the stem's constraint of a managed AWS service supporting semantic retrieval without provisioning servers.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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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.