AI-200 Data Management Services And Vector Search Practice Question
You are writing a Python script to query an Azure AI Search index using the azure-search-documents SDK. You want to retrieve both vector matches and keyword matches using hybrid search. Which class should you instantiate to represent the vector query?
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
✓
VectorizedQuery
The VectorizedQuery class in the Azure AI Search Python SDK is used to construct vector queries for hybrid or vector-only 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.
- ✗
EmbeddingQueryClient
Why it's wrong here
EmbeddingQueryClient is not a class in the SDK.
- ✗
HnswSearchRequest
Why it's wrong here
HnswSearchRequest is not the SDK class name for queries.
- ✗
CosmosVectorSearch
Why it's wrong here
CosmosVectorSearch is unrelated to Azure AI Search SDK classes.
- ✓
VectorizedQuery
Why this is correct
VectorizedQuery represents a vector query passed into search requests in the Python SDK.
About these practice questions
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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.