- A
Use the Storage Optimized L2 tier with 6 partitions and 4 replicas.
Why wrong: L2 is for storage-heavy scenarios, not low latency.
- B
Use the Free tier and enable change tracking on Cosmos DB.
Why wrong: Free tier cannot handle 5000 QPS.
- C
Use Standard S3 tier with 12 replicas and enable incremental indexing.
S3 supports high throughput; replicas multiply QPS; incremental indexing reduces latency.
- D
Use Standard S2 tier with 3 replicas and indexer scheduling every 5 minutes.
Why wrong: 3 replicas provide at most 1500 QPS; 5-minute intervals exceed latency requirement.
Quick Answer
The correct configuration is the Standard S3 tier with 12 replicas and incremental indexing enabled. This combination directly meets the dual demands of high throughput and low latency because each replica effectively doubles the query processing capacity, and with 12 replicas on the S3 tier, you achieve the 5000 QPS target while incremental indexing ensures only changed documents from Cosmos DB are reindexed, keeping latency under 10 seconds. On the AI-102 exam, this scenario tests your understanding of how replicas scale query performance independently of indexing speed, and a common trap is choosing a lower tier with more replicas, which fails because S3 is the minimum tier supporting 12 replicas. Remember the mnemonic “S3 for 5K, 12 reps for QPS, incremental for speed” to lock in the choice.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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.
Option C is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Trap categories for this question
Scenario analysis trap
L2 is for storage-heavy scenarios, not low latency.
Detailed technical explanation
How to think about this question
Incremental indexing in Azure AI Search leverages change tracking in Cosmos DB (using _ts or _etag) to detect only new or modified documents, reducing indexing time and resource consumption. Under the hood, the indexer uses a high-water mark to track changes, enabling sub-10-second latency when combined with a sufficiently provisioned search tier. In real-world e-commerce scenarios, this ensures product availability updates (e.g., stock changes) are reflected in search results almost immediately, preventing customer frustration.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Plan and manage an Azure AI solution — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Standard S3 tier with 12 replicas and enable incremental indexing. — Option C is correct because 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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