AI-200 Data Management Services And Vector Search Practice Question
You are migrating a custom RAG solution to Azure. Your data pipeline generates text embeddings using Azure OpenAI text-embedding-ada-002 and stores them alongside relational metadata in Azure SQL Database. To perform vector similarity searches efficiently directly inside Azure SQL, which data type and extension should you leverage?
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
✓
Using the VECTOR data type and the vector_distance() function.
Azure SQL Database supports native vector data types and functions via integrations and extensions, allowing storage of vectors in binary or specialized formats and querying using vector distance functions like vector_distance().
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using varbinary(max) columns combined with Azure Analysis Services tabular models.
Why it's wrong here
Analysis Services is an OLAP engine, not an operational vector database layer.
- ✗
Creating a CLR stored procedure wrapping Python NumPy libraries.
Why it's wrong here
CLR procedures introduce complexity and are not the recommended native way to handle vector similarity queries in modern Azure SQL.
- ✓
Using the VECTOR data type and the vector_distance() function.
Why this is correct
Azure SQL Database provides native support for the VECTOR data type and built-in vector distance calculation functions.
- ✗
Storing vectors as NVARCHAR(MAX) JSON strings and parsing them with OPENJSON.
Why it's wrong here
Storing vectors as JSON strings and parsing them at query time results in extreme performance degradation and lacks index support.
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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.