AI-200 Data Management Services And Vector Search Practice Question
Which Azure AI Search API parameter allows you to specify a vector query alongside traditional keyword search terms when executing a hybrid search?
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
✓
vectorQueries
In Azure AI Search queries, the vectorQueries parameter is used to pass vector embedding query objects during search requests.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
vectorQueries
Why this is correct
vectorQueries is the parameter used to supply vector queries in search requests.
- ✗
embeddingQuery
Why it's wrong here
embeddingQuery is not the correct parameter name.
- ✗
knnQuery
Why it's wrong here
knnQuery is not the parameter name in Azure AI Search.
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vectorSearchParam
Why it's wrong here
vectorSearchParam is invalid.
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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.