- A
Azure AI Search
Why wrong: Azure AI Search is a search and indexing service, not for running generative AI inference.
- B
Azure OpenAI Service
Azure OpenAI Service provides managed endpoints with low-latency inference for generative AI models.
- C
Azure Machine Learning real-time endpoint
Why wrong: Azure ML endpoints can serve models but require additional configuration and management compared to Azure OpenAI.
- D
Azure Functions
Why wrong: Azure Functions is a serverless compute platform, not suitable for hosting large generative AI models.
Question 861 of 993
AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 need to deploy a generative AI model that can be used by multiple applications within your organization. The model must support real-time inference with low latency. Which Azure service should you use?
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
✓
Azure OpenAI Service
Azure OpenAI Service provides managed access to powerful generative AI models like GPT-4, which are optimized for real-time inference with low latency through provisioned throughput units (PTUs) and regional deployment options. This service is specifically designed for generative AI workloads, offering REST API endpoints that support streaming responses and sub-second latency for single-turn interactions, making it ideal for multiple applications requiring consistent, low-latency responses.
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.
- ✗
Azure AI Search
Why it's wrong here
Azure AI Search is a search and indexing service, not for running generative AI inference.
- ✓
Azure OpenAI Service
Why this is correct
Azure OpenAI Service provides managed endpoints with low-latency inference for generative AI models.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Machine Learning real-time endpoint
Why it's wrong here
Azure ML endpoints can serve models but require additional configuration and management compared to Azure OpenAI.
- ✗
Azure Functions
Why it's wrong here
Azure Functions is a serverless compute platform, not suitable for hosting large generative AI models.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Machine Learning real-time endpoints (which are for custom ML models) with Azure OpenAI Service (which is purpose-built for generative AI), overlooking the fact that Azure OpenAI provides managed, low-latency inference optimized for large language models without the overhead of containerized deployments.
Detailed technical explanation
How to think about this question
Azure OpenAI Service uses provisioned throughput units (PTUs) to reserve model processing capacity, ensuring consistent low-latency responses even under high concurrency, unlike pay-as-you-go tokens which can experience throttling. The service also supports streaming via Server-Sent Events (SSE), allowing applications to begin processing tokens as they are generated, reducing perceived latency. In a real-world scenario, a customer-facing chatbot requiring sub-500ms response times would leverage Azure OpenAI with PTUs and regional proximity to achieve this, whereas Azure ML endpoints would struggle due to cold starts and lack of optimized batching for generative models.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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.
- →
Implement generative AI solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Implement generative AI solutions practice questions
Targeted practice on this topic area only
- →
All AI-102 questions
993 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?
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure OpenAI Service — Azure OpenAI Service provides managed access to powerful generative AI models like GPT-4, which are optimized for real-time inference with low latency through provisioned throughput units (PTUs) and regional deployment options. This service is specifically designed for generative AI workloads, offering REST API endpoints that support streaming responses and sub-second latency for single-turn interactions, making it ideal for multiple applications requiring consistent, low-latency responses.
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 →
Keep practising
More AI-102 practice questions
- Drag and drop the steps to set up Azure AI Content Safety for content moderation into the correct order.
- Drag and drop the steps to configure an Azure AI Search index with a custom skill into the correct order.
- You have an Azure AI Search index defined as shown in the exhibit. Users want to filter search results by author and by…
- Refer to the exhibit. You are configuring an Azure AI Video Indexer job. The exhibit shows a JSON snippet of the job con…
- Refer to the exhibit. You are configuring the Azure AI Vision Analyze Image API. You need to ensure that the response in…
- A company is deploying a generative AI solution using Azure OpenAI Service to generate product descriptions. The solutio…
Last reviewed: Jul 4, 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.