AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying an Azure AI Search solution for a global e-commerce platform. The index must support real-time updates from a product catalog stored in Azure Cosmos DB, with a maximum indexing latency of 10 seconds. The solution must also handle 5000 queries per second (QPS) during peak hours. What should you configure?
⚠ Common exam trap
It's easy for candidates to confuse 'incremental indexing' with 'indexer scheduling,' assuming a scheduled indexer can meet low-latency requirements, but scheduling introduces fixed intervals (e.g., 5 minutes) that violate the 10-second latency constraint.
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
✓
Use Standard S3 tier with 12 replicas and enable incremental indexing.
The Standard S3 tier supports high query volumes (up to 5000 QPS) with 12 replicas, and incremental indexing enables near-real-time updates from Cosmos DB by processing only changed documents, keeping latency under 10 seconds. The combination of sufficient replicas for throughput and incremental indexing for low-latency indexing meets both requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Storage Optimized L2 tier with 6 partitions and 4 replicas.
Why it's wrong here
L2 is for storage-heavy scenarios, not low latency.
- ✗
Use the Free tier and enable change tracking on Cosmos DB.
Why it's wrong here
Free tier cannot handle 5000 QPS.
- ✓
Use Standard S3 tier with 12 replicas and enable incremental indexing.
Why this is correct
S3 supports high throughput; replicas multiply QPS; incremental indexing reduces latency.
- ✗
Use Standard S2 tier with 3 replicas and indexer scheduling every 5 minutes.
Why it's wrong here
3 replicas provide at most 1500 QPS; 5-minute intervals exceed latency requirement.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.