- A
Create a Cognitive Services multi-service account to increase throughput
Why wrong: Multi-service account does not increase per-service throughput limits.
- B
Use the S0 tier and configure autoscaling if needed
S0 tier supports higher throughput and meets latency requirements.
- C
Use the Free tier and implement a retry policy
Why wrong: Free tier is limited to 20 transactions per minute, insufficient for 1000 per hour.
- D
Deploy the Document Intelligence resource in multiple regions
Why wrong: Multi-region deployment does not reduce latency for a single service; it provides failover.
Quick Answer
The S0 tier is the correct choice because its default throughput of 15 transactions per second easily handles 1,000 invoices per hour while staying well under the 5-second latency cap. Azure AI Document Intelligence pricing tier throughput scales with the S0 tier’s capacity, which supports up to 54,000 invoices per hour—far exceeding the requirement—so no autoscaling is strictly necessary, though it can be enabled for burst scenarios. On the AI-102 exam, this question tests your ability to match throughput specifications to real-world workloads, often using the Free tier (F0) as a trap since it maxes out at 20 transactions per minute, or 1,200 per hour, but is explicitly non-production. A common memory tip is to remember that “S0 = 15 TPS” and that 15 TPS multiplied by 3,600 seconds gives 54,000—a number so high it makes the 1,000-per-hour requirement trivial. For the exam, always check if the Free tier’s 1,200-per-hour ceiling is a bottleneck; if the workload exceeds that, S0 is your default production answer.
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 designing an Azure AI solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must handle up to 1000 invoices per hour with a maximum latency of 5 seconds per invoice. You need to choose the appropriate pricing tier and resource configuration. What should you do?
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 the S0 tier and configure autoscaling if needed
The S0 tier (Standard) for Azure AI Document Intelligence supports up to 15 transactions per second (TPS), which equates to 54,000 invoices per hour—far exceeding the 1,000 per hour requirement. With a maximum latency of 5 seconds per invoice, the S0 tier's default throughput is sufficient without needing autoscaling, though autoscaling can be configured for burst scenarios. The Free tier (F0) is limited to 20 transactions per minute (1,200 per hour) and is not designed for production workloads, making S0 the correct choice.
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.
- ✗
Create a Cognitive Services multi-service account to increase throughput
Why it's wrong here
Multi-service account does not increase per-service throughput limits.
- ✓
Use the S0 tier and configure autoscaling if needed
Why this is correct
S0 tier supports higher throughput and meets latency requirements.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the Free tier and implement a retry policy
Why it's wrong here
Free tier is limited to 20 transactions per minute, insufficient for 1000 per hour.
- ✗
Deploy the Document Intelligence resource in multiple regions
Why it's wrong here
Multi-region deployment does not reduce latency for a single service; it provides failover.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume higher throughput requires multi-region deployment or multi-service accounts, but the S0 tier's default TPS limit already exceeds the requirement, making autoscaling optional rather than necessary.
Detailed technical explanation
How to think about this question
Azure AI Document Intelligence's S0 tier provides up to 15 TPS, which translates to 54,000 requests per hour—well above the 1,000 per hour requirement. Under the hood, the service uses a shared pool of resources per region, and autoscaling (if configured) can handle transient spikes, but the baseline S0 tier already meets the stated latency and throughput needs without additional configuration. A real-world scenario where this matters is processing invoices during peak hours: with 1,000 invoices per hour, the average request rate is ~0.28 TPS, leaving ample headroom for retries or batch processing without hitting throttling limits.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
- →
Plan and manage an Azure AI solution — study guide chapter
Learn the concepts, then practise the questions
- →
Plan and manage an Azure AI solution practice questions
Targeted practice on this topic area only
- →
All AI-102 questions
988 questions across all exam domains
- →
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
- →
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AI-102 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Implement an agentic solution practice questions
Practise AI-102 questions linked to Implement an agentic solution.
Implement computer vision solutions practice questions
Practise AI-102 questions linked to Implement computer vision solutions.
Implement knowledge mining and information extraction solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Implement image and video processing solutions practice questions
Practise AI-102 questions linked to Implement image and video processing solutions.
Implement natural language processing solutions practice questions
Practise AI-102 questions linked to Implement natural language processing solutions.
Implement generative AI solutions practice questions
Practise AI-102 questions linked to Implement generative AI solutions.
Implement agentic AI solutions practice questions
Practise AI-102 questions linked to Implement agentic AI solutions.
Implement knowledge mining and document intelligence solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Plan and manage an Azure AI solution practice questions
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Implement content moderation solutions practice questions
Practise AI-102 questions linked to Implement content moderation solutions.
AI-102 fundamentals practice questions
Practise AI-102 questions linked to AI-102 fundamentals.
AI-102 scenario practice questions
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Start a free AI-102 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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 the S0 tier and configure autoscaling if needed — The S0 tier (Standard) for Azure AI Document Intelligence supports up to 15 transactions per second (TPS), which equates to 54,000 invoices per hour—far exceeding the 1,000 per hour requirement. With a maximum latency of 5 seconds per invoice, the S0 tier's default throughput is sufficient without needing autoscaling, though autoscaling can be configured for burst scenarios. The Free tier (F0) is limited to 20 transactions per minute (1,200 per hour) and is not designed for production workloads, making S0 the correct choice.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are planning an Azure AI solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must handle large volumes of documents with varying layouts. Which pricing tier should you choose to ensure scalability and high throughput?
easy- A.Premium (P0)
- ✓ B.Standard (S0)
- C.Free (F0)
- D.Basic (B0)
Why B: The Standard (S0) tier is correct because Azure AI Document Intelligence requires the S0 tier for production workloads that demand high throughput and scalability across varying document layouts. The S0 tier supports unlimited transactions per second (TPS) with auto-scaling, whereas lower tiers impose strict rate limits or lack the capacity to handle large volumes of invoices with diverse formats.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.