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Data Management Services And Vector SearchmediumMultiple SelectObjective-mapped

AI-200 Data Management Services And Vector Search Practice Question

You are planning a data layer architecture for an AI application on Azure that requires both relational transactional storage and vector search capabilities. Which TWO Azure database services natively support vector data types and similarity search functions? Choose two.

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

Azure SQL Database

Azure SQL Database and Azure Cosmos DB (both NoSQL and MongoDB vCore APIs) natively support vector data storage and vector search functions.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Azure SQL Database

    Why this is correct

    Azure SQL Database supports native VECTOR data types and vector distance functions.

  • Azure Queue Storage

    Why it's wrong here

    Azure Queue Storage is a message queuing service, not a vector database.

  • Azure Cosmos DB for NoSQL

    Why this is correct

    Azure Cosmos DB for NoSQL natively supports vector indexing and the VectorDistance() function.

  • Azure Table Storage

    Why it's wrong here

    Azure Table Storage is a key-value store and does not natively support vector indexes or distance functions.

  • Azure Cache for Redis (Basic tier without modules)

    Why it's wrong here

    While Redis Enterprise supports vector search via RediSearch, standard basic tiers without modules do not natively support vector search out of the box.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-200 practice question is part of Courseiva's free Microsoft 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 AI-200 exam.