AI-200 Data Management Services And Vector Search Practice Question
When configuring vector search in Azure AI Search, which TWO components are defined within the vectorSearch object of an index definition? (Choose two)
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
✓
algorithms
The vectorSearch object in Azure AI Search contains algorithm configurations and vector profiles.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
sqlPartitionKey
Why it's wrong here
SQL partition keys belong to relational or NoSQL database architectures, not Azure AI Search vectorSearch.
- ✗
storageAccountConnectionString
Why it's wrong here
Storage connection strings are configured in indexers, not within the vectorSearch index schema object.
- ✓
algorithms
Why this is correct
The algorithms collection defines parameters for HNSW or exhaustive k-NN.
- ✓
profiles
Why this is correct
Profiles tie together algorithm configurations and vectorizers.
- ✗
cosmosContainerName
Why it's wrong here
Cosmos container names are not defined in the search service vectorSearch object.
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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.