AI-200 Data Management Services And Vector Search Practice Question
You are using Azure OpenAI Service to generate embeddings for your documents before storing them in Azure Cosmos DB for NoSQL. The embedding model outputs vectors with a length of 1536. When defining the vector embedding policy in Cosmos DB, what value should you specify for the dimensions property?
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
✓
1536
The dimensions property in the Azure Cosmos DB vector embedding policy must exactly match the output dimensions of the embedding model used (1536 for text-embedding-ada-002).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
3072
Why it's wrong here
3072 is used by text-embedding-3-large, not standard text-embedding-ada-002.
- ✓
1536
Why this is correct
The dimensions property must be set to 1536 to match the model output.
- ✗
512
Why it's wrong here
512 is incorrect for text-embedding-ada-002.
- ✗
768
Why it's wrong here
768 is the dimension size for older models like text-embedding-ada-001 or smaller BERT models.
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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.