AI-200 Data Management Services And Vector Search Practice Question
You are optimizing query performance for an Azure AI Search index experiencing high query volumes with vector search. You need to scale out query processing capabilities without increasing index build time. Which action should you perform?
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
✓
Increase the number of search units by adding replica instances
To scale out query throughput (QPS) and handle higher query load for vector search in Azure AI Search, you should increase the number of replica units.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Rebuild the index using exhaustiveKnn
Why it's wrong here
Switching to exhaustiveKNN would degrade query performance and throughput.
- ✗
Increase the number of partition instances
Why it's wrong here
Adding partitions increases storage capacity and is used when the index exceeds single-partition limits, whereas replicas handle query load.
- ✓
Increase the number of search units by adding replica instances
Why this is correct
Adding replicas scales out query throughput and provides high availability for vector search workloads.
- ✗
Upgrade the search service from Standard to Basic tier
Why it's wrong here
The Basic tier has fewer scaling capabilities and lower performance than Standard tiers.
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.