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AI-200 Data Management Services And Vector Search Practice Question

You are designing an application that stores vector embeddings in Azure SQL Database. Which data type should you use to store vector data natively in modern Azure SQL?

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

VECTOR native data type

Azure SQL Database supports the vector data type (along with native vector functions like vector_distance) to store and query high-dimensional embeddings efficiently.

Answer analysis

Option-by-option breakdown

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

  • VARCHAR(MAX) JSON string

    Why it's wrong here

    Storing vectors as serialized JSON strings prevents efficient distance calculations in the database engine.

  • VECTOR native data type

    Why this is correct

    The VECTOR data type is the native storage format in Azure SQL Database for vector embeddings.

  • FLOAT array collection

    Why it's wrong here

    FLOAT arrays are not a native column type in Azure SQL Database.

  • VARBINARY(MAX) blob

    Why it's wrong here

    While binary blobs can store raw bytes, Azure SQL provides a dedicated native vector data type for optimal performance.

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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.