If the AI-102 exam is scheduled and the clock is ticking, structure matters more than volume. TorrentExam pairs 425 verified questions for Microsoft Designing and Implementing a Microsoft Azure AI Solution with a pacing plan you can adjust, which keeps 2026 preparation moving forward even on packed weeks.
Microsoft AI-102 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Format: | Active screen questions, Case studies, Multiple-choice, Drag-and-drop |
| Exam Price: | $165 USD |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Passing Score: | 700 (on a scale of 1-1000) |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Available Languages: | Chinese (Simplified), Japanese, Korean, English |
| Exam Duration: | 120 minutes |
| Sample Questions: | ![]() |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Translate text and speech |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Integrate Azure AI services into applications - Monitor and optimize decision support solutions |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Implement object detection and image classification |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Create custom skills for Azure AI Search - Implement Azure AI Search solutions - Design document processing pipelines |
| Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications |
Common Questions from Microsoft Designing and Implementing a Microsoft Azure AI Solution Candidates
Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial.
The AI-102 exam contains 40-60 questions and lasts 120 minutes minutes, so pacing matters as much as knowledge. Practicing under a real timer on TorrentExam helps you learn how long to spend on each item.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution material is written by a group of IT experts and certified trainers. Beyond assembling verified questions, they organize the bank into a study strategy for candidates, so you always know which section to tackle next instead of paging through questions at random.
The online engine recreates the atmosphere of the formal test, so the real AI-102 exam feels familiar rather than intimidating. It runs on Windows, Mac, Android, and iOS, places no limit on the number of installations, and lets you review at any time and from any location, which fits naturally around an IT worker's schedule.
The passing score of AI-102 is 700 (on a scale of 1-1000), and the official exam fee is $165 USD. Knowing both numbers early helps you set a concrete target before you book the test.
This package includes 425 practice questions for the AI-102 exam. Every answer has been verified by our IT experts and certified trainers before release.
- Implement Computer Vision Solutions (15-20%)
- Implement Natural Language Processing Solutions (20-25%)
- Implement Knowledge Mining and Document Intelligence Solutions (15-20%)
Study the sections in the order that matches your weakest areas first.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You build a chatbot by using Azure OpenAI Studio.
You need to ensure that the responses are more deterministic and less creative.
Which two parameters should you configure? To answer, select the appropriate parameters in the answer area.
NOTE: Each correct answer is worth one point.
Correct Answer:

Explanation:
When working with Azure OpenAI Studio to configure a chatbot or conversational AI model, two key parameters control the creativity vs determinism of responses:
Temperature
Controls the amount of randomness in the model's output.
A lower value (closer to 0) makes the output more deterministic and focused.
A higher value increases creativity and randomness.
For deterministic responses, you should reduce this value (for example, 0.2 or 0.0).
Top P (nucleus sampling)
Controls the diversity of responses by limiting the probability space considered.
A lower value (closer to 0) makes the responses more deterministic by narrowing the token choices.
A higher value increases creativity by expanding possible outputs.
For deterministic responses, keep this value low (e.g., 0.1-0.3).
Why Not Other Parameters?
Max response: Sets maximum token length of the output, not determinism.
Stop sequence: Defines custom stopping conditions, not randomness.
Frequency penalty and Presence penalty: Control repetition and encouragement of new topics, not determinism.
Thus, the correct parameters to adjust for more deterministic and less creative responses are:
Temperature and Top P.
The answer: Temperature, Top P
Microsoft References
Azure OpenAI Service - Parameters
Azure OpenAI Studio Overview
Nucleus Sampling (Top P) explanation
You create five bots by using Microsoft Bot Framework Composer.
You need to make a single bot available to users that combines the bots. The solution must support dynamic routing to the bots based on user input.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Create a composer extension.
- B. Change the Recognizer/Dispatch type.
- C. Create an Orchestrator model.
- D. Install the Orchestrator package.
- E. Enable WebSockets.
- F. Create a custom recognizer JSON file.
Correct Answer: B,C,D 🗳️
Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).
You have a Microsoft Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Microsoft Foundry SDK. The solution must minimize development effort.
What should you configure in App1?
- A. an AIProjectClient object
- B. a connection string
- C. a project scope key
- D. a SASCredentials object
Correct Answer: A 🗳️
You are building a model that will be used in an iOS app.
You have images of cats and dogs. Each image contains either a cat or a dog.
You need to use the Custom Vision service to detect whether the images is of a cat or a dog.
How should you configure the project in the Custom Vision portal? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Classification
Box 2: Multiclass
A multiclass classification project is for classifying images into a set of tags, or target labels. An image can be assigned to one tag only.
Box 3: General
General: Optimized for a broad range of image classification tasks. If none of the other specific domains are appropriate, or if you ' re unsure of which domain to choose, select one of the General domains.
Reference:
https://cran.r-project.org/web/packages/AzureVision/vignettes/customvision.html
You have a chatbot that uses Azure OpenAI to generate responses.
You need to upload company data by using Chat playground. The solution must ensure that the chatbot uses the data to answer user questions.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
To make a chatbot use uploaded company data from the Chat playground ("use your data") , your code must:
Create a chat request (not a plain completion), so you need the ChatCompletionsOptions type for the request options.
This is the options class used for chat completions across Azure OpenAI SDKs and is the one that supports attaching data sources (extensions).
Configure the Azure AI Search data source as a chat extension so the model grounds answers on your indexed documents.
In the SDK, this is done by adding an AzureCognitiveSearchChatExtensionConfiguration entry under the extensions/dataSources collection and setting properties like SearchKey and IndexName . This is the specific configuration object for Azure AI Search integration with Chat Completions.
Therefore, the two dropdowns should be completed as:
First dropdown: ChatCompletionsOptions()
Second dropdown: AzureCognitiveSearchChatExtensionConfiguration
This matches how "Use your data (RAG)" is implemented in Azure OpenAI-chat request + Azure AI Search chat extension-so the bot can answer questions using your uploaded/company data. Microsoft Learn Microsoft Azure AI Solution References Azure OpenAI "Use your data" (concepts): how chat uses data sources like Azure AI Search. Microsoft Learn Azure OpenAI client library for .NET (overview of chat options and extensions support). Microsoft Learn Chat Completions Options (SDK docs, shows dataSources/extensions concept in chat options).
Examples/discussion of AzureCognitiveSearchChatExtensionConfiguration usage with SearchKey
/IndexName.








