AI-200 Data Management Services And Vector Search Practice Question
Which property in an Azure Cosmos DB for NoSQL vector embedding policy defines whether the similarity calculation measures cosine, dotproduct, or euclidean distance?
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
✓
distanceFunction
The distanceFunction property in the vector embedding policy defines the metric used for vector distance calculation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
metricType
Why it's wrong here
metricType is invalid.
- ✓
distanceFunction
Why this is correct
distanceFunction specifies cosine, dotproduct, or euclidean.
- ✗
algorithmFunction
Why it's wrong here
algorithmFunction is not used in the vector policy.
- ✗
similarityMetric
Why it's wrong here
similarityMetric is not the correct property name in Cosmos DB.
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JA
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.