- A
Use Azure AI Search with a basic tier and replicas.
Why wrong: This is for search, not question answering.
- B
Use the Standard tier and allocate 10 capacity units (CUs).
Standard tier with CUs provides the required throughput.
- C
Use the Free tier and enable autoscaling.
Why wrong: Free tier is limited to 10 requests per minute.
- D
Deploy a dedicated endpoint with provisioned throughput of 1000 TPS.
Why wrong: Custom question answering uses capacity units, not provisioned throughput.
Quick Answer
The correct answer is to use the Standard tier and allocate 10 capacity units (CUs). This configuration directly meets the requirement of scaling Azure AI Language question answering throughput with capacity units, as each CU provides a baseline of 100 requests per minute (RPM), so 10 CUs deliver exactly 1000 RPM with low latency. The Standard tier is essential because it supports multiple languages and enables the low-latency responses needed for FAQ-based solutions, while the Free tier lacks the throughput and scalability. On the AI-102 exam, this scenario tests your understanding of how capacity units map to request rates—a common trap is assuming you can scale with the Free tier or misallocating CUs by forgetting the 100 RPM per CU baseline. A useful memory tip is to think of each CU as a “100-RPM token,” so for any target throughput, simply divide by 100 to find the required CUs.
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 a custom question-answering solution using Azure AI Language. The solution must support multiple languages and provide answers from a set of FAQ documents. You need to ensure that the service can handle up to 1000 requests per minute with low latency. 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 the Standard tier and allocate 10 capacity units (CUs).
Option B is correct because Azure AI Language's custom question-answering feature uses a Standard tier with capacity units (CUs) to handle throughput and latency. Each CU provides a baseline of 100 requests per minute (RPM), so 10 CUs deliver exactly 1000 RPM, meeting the requirement. The Standard tier also supports multiple languages and low-latency responses from FAQ documents.
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 Azure AI Search with a basic tier and replicas.
Why it's wrong here
This is for search, not question answering.
- ✓
Use the Standard tier and allocate 10 capacity units (CUs).
Why this is correct
Standard tier with CUs provides the required throughput.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the Free tier and enable autoscaling.
Why it's wrong here
Free tier is limited to 10 requests per minute.
- ✗
Deploy a dedicated endpoint with provisioned throughput of 1000 TPS.
Why it's wrong here
Custom question answering uses capacity units, not provisioned throughput.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing throughput units (requests per minute vs. per second) and assuming that Azure AI Search replicas or provisioned TPS from other services apply to Azure AI Language custom question-answering, when the correct scaling mechanism is capacity units (CUs) on the Standard tier.
Detailed technical explanation
How to think about this question
Azure AI Language custom question-answering uses a dedicated runtime where each capacity unit (CU) provides a guaranteed throughput of 100 requests per minute and a fixed latency SLA. Under the hood, the service distributes requests across multiple nodes based on the number of CUs, ensuring consistent performance even under load. In a real-world scenario, if you need to handle burst traffic, you can scale CUs up to 100 per project, but for a steady 1000 RPM, 10 CUs are the precise configuration.
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.
- →
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 Standard tier and allocate 10 capacity units (CUs). — Option B is correct because Azure AI Language's custom question-answering feature uses a Standard tier with capacity units (CUs) to handle throughput and latency. Each CU provides a baseline of 100 requests per minute (RPM), so 10 CUs deliver exactly 1000 RPM, meeting the requirement. The Standard tier also supports multiple languages and low-latency responses from FAQ documents.
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 →
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.