AI-200 Data Management Services And Vector Search Practice Question
You are troubleshooting a performance degradation in an Azure Cosmos DB for NoSQL vector search application. Which THREE diagnostic steps or metrics should you inspect? (Choose three)
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
✓
Normalized RU consumption across physical partitions to check for hot spotting
Troubleshooting Cosmos DB performance involves inspecting RU charge per vector query, monitoring partition-level throughput distribution, and analyzing indexing status.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Normalized RU consumption across physical partitions to check for hot spotting
Why this is correct
Checking partition normalization helps identify uneven query or write load distribution.
- ✗
Azure Blob Storage tier status (Hot vs Cool)
Why it's wrong here
Blob storage tiers are irrelevant to Cosmos DB query performance diagnostics.
- ✗
App Service SSL certificate expiration date
Why it's wrong here
SSL certificate expiration affects connection security, not vector search query latency.
- ✓
Request Unit (RU) charge per query response header
Why this is correct
Inspecting RU charges reveals the computational cost of vector distance calculations.
- ✓
Index transformation progress to ensure vector indexing is fully completed
Why this is correct
If vector indexes are still building in the background, queries may fall back to slower scans.
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.