Microsoft AI-102 Exam Questions : Designing and Implementing a Microsoft Azure AI Solution

  • Exam Code: AI-102
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution
  • Updated: Aug 31, 2026
  • Q&As: 425 Questions and Answers

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How to book the AI-102: Designing and Implementing an Azure AI Solution Exam

These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.

  • Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
  • Step 2: Sign up/Login to Pearson VUE account
  • Step 3: Select local centre based on your country, date, time and confirm with a payment method.

Topics Covered

Exam AI-102 contains five topics each of which is intended to check specific skills.

1. Plan and Manage an Azure Cognitive Services Solution

This topic implies your ability to choose the suitable Cognitive Services resource, create it, plan and design security for a Cognitive Services solution, and apply Cognitive Services containers. This means that you should be competent in selecting the appropriate cognitive service for solutions that refer to language analysis, speech, decision support, and vision. You also should possess skills to operate costs of Cognitive Services, create a Cognitive Services resource, and monitor a cognitive service. This part also checks how well you can operate Cognitive Services account keys, and protect Cognitive Services. Your knowledge of using Face API, Computer Vision, Speech, Text Analysis, and ability to integrate Cognitive Services Containers in Microsoft Azure will also be assessed.

2. Implement Computer Vision Solutions

The second topic is designed to check your skills in using the Computer Vision API to get image descriptions, define landmarks, find brands, edit content in images, and create thumbnails. In this part, you are expected to be able to detect faces and recognize them in images, analyze facial features, and match similar faces with the help of the Face API. Being competent in utilizing the Custom Vision service, you should demonstrate your skills in applying image classification and implementing an object detection solution. Besides, your ability to analyze video by implementing Azure Video Analyzer for Media will be measured.

3. Implement Natural Language Processing Solutions

In the third topic, candidates are required to show their skills in analyzing text by utilizing the Text Analytics service, control speech by implementing the Speech service, translate the text with the help of the Translator service. This domain also checks your proficiency in creating and optimizing an initial language model by utilizing LUIS, and finally, managing it.

4. Implement Knowledge Mining Solutions

In this domain, you will be required to have expertise related to applying a Cognitive Search solution, which implies creating data sources, identifying an index, running an indexer, and using synonyms. This topic also aims to evaluate your ability to apply an enrichment pipeline, use a knowledge store, operate a Cognitive Search solution and indexing.

5. Implement Conversational AI Solutions

This domain will evaluate your capacity in utilizing QnA Maker to make a knowledge base, creating and implementing conversation flow, creating a bot by utilizing either the Bot Framework Composer or the Bot Framework SDK. Finally, you will need to demonstrate your skills in integrating Cognitive Services into a bot.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

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Prep Options to Choose

The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.

In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!

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Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Knowledge Mining and Document Intelligence Solutions15-20%- Implement semantic and vector search
- Implement Azure AI Search solutions
- Design document processing pipelines
- Create custom skills for Azure AI Search
Topic 2: Implement Generative AI Solutions10-15%- Apply responsible AI practices
- Integrate Azure OpenAI models into applications
- Use Azure OpenAI Service for generative AI
- Implement prompt engineering techniques
Topic 3: Plan and Manage an Azure AI Solution15-20%- Select appropriate Azure AI services and technologies
- Plan and configure secure AI solutions
- Manage AI costs and resource allocation
- Implement governance and compliance for AI solutions
Topic 4: Implement Natural Language Processing Solutions20-25%- Analyze text using Azure AI Language
- Translate text and speech
- Implement speech capabilities using Azure AI Speech
- Create conversational AI solutions with Azure AI Bot Service
- Build question answering solutions
Topic 5: Implement Decision Support Solutions10-15%- Monitor and optimize decision support solutions
- Design and implement decision automation
- Integrate Azure AI services into applications
Topic 6: Implement Computer Vision Solutions15-20%- 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 Azure AI Face service

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