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Microsoft AI-102 Exam Guide 2026 - Azure AI Solution

Microsoft Azure AI Engineer Associate (AI-102) certification is designed for professionals who build, manage, and deploy AI solutions using Microsoft Azure. This guide helps you understand Azure AI services, machine learning, cognitive services, security, and how to prepare for the AI-102 exam in 2026.


What Is AI-102?

AI-102 validates your ability to design and implement AI solutions using Azure AI services, Azure OpenAI, Cognitive Services, and Azure Machine Learning. It is intended for developers and engineers who integrate AI capabilities into applications.

  • Exam code: AI-102
  • Duration: ~120 minutes
  • Question types: Multiple-choice, case studies, scenario-based
  • Difficulty: Intermediate
  • Prerequisites: Familiarity with Azure and programming fundamentals

AI-102 Skills Measured (Latest Blueprint)

1. Plan and Manage Azure AI Solutions (15–20%)

  • Select appropriate Azure AI services
  • Design AI solution architectures
  • Manage Azure AI resources
  • Implement responsible AI principles

2. Implement Computer Vision Solutions (20–25%)

  • Azure AI Vision image analysis
  • Optical Character Recognition (OCR)
  • Custom Vision model training
  • Face detection and analysis

3. Implement Natural Language Processing Solutions (25–30%)

  • Azure AI Language services
  • Text analytics and sentiment analysis
  • Named entity recognition
  • Question answering solutions

4. Implement Knowledge Mining Solutions (10–15%)

  • Azure AI Search indexing
  • Enrich data with cognitive skills
  • Search index management

5. Implement Conversational AI Solutions (15–20%)

  • Azure Bot Service
  • Language Understanding (LUIS / Azure AI Language)
  • Integrate chatbots with channels

Key AI-102 Concepts Explained

Azure AI Services vs Custom Models

  • Prebuilt AI Services: Ready-to-use APIs like Vision and Language
  • Custom Models: Train models using Custom Vision or Azure Machine Learning

Responsible AI

Azure AI solutions must follow fairness, transparency, privacy, and security principles to ensure ethical AI deployment.


Sample AI-102 Question with Explanation

Question 1: Which Azure service is primarily used to build, train, and deploy machine learning models?

  • A. Azure Cognitive Search
  • B. Azure Machine Learning ✅
  • C. Azure Functions
  • D. Azure DevOps

Explanation: Azure Machine Learning provides tools for model training, deployment, and MLOps management.

Question 2: Which Azure service allows you to analyze text for sentiment, language, and key phrases?

  • A. Azure Computer Vision
  • B. Azure Speech Service
  • C. Azure AI Language Service ✅
  • D. Azure Bot Service

Explanation: Azure AI Language Service provides NLP features such as sentiment analysis and entity recognition.

Question 3: Which service is used to extract text from images and scanned documents?

  • A. Azure OCR in Computer Vision ✅
  • B. Azure Speech-to-Text
  • C. Azure AI Search
  • D. Azure Form Recognizer Studio

Explanation: Azure Computer Vision OCR extracts printed and handwritten text from images.

Question 4: Which Azure service is used to build conversational AI chatbots?

  • A. Azure Bot Service ✅
  • B. Azure Cognitive Search
  • C. Azure Machine Learning
  • D. Azure Data Factory

Explanation: Azure Bot Service provides tools to create, test, and deploy intelligent chatbots.

Question 5: Which Azure service is best for building an AI-powered enterprise search solution?

  • A. Azure Cognitive Search ✅
  • B. Azure Virtual Network
  • C. Azure SQL Database
  • D. Azure Kubernetes Service

Explanation: Azure Cognitive Search enables AI-enriched indexing and intelligent search experiences.

Download/Practice full AI-102 exam questions..


How to Prepare for AI-102

  1. Learn Azure AI fundamentals on Microsoft Learn
  2. Practice building AI services in Azure Portal
  3. Understand Vision, Language, Search, and Bot services
  4. Review responsible AI principles
  5. Attempt AI-102 practice exams

Why Prepare AI-102 with ClearCatNet

  • ✅ Latest AI-102 syllabus-based content
  • ✅ Real exam-style scenario questions
  • ✅ Hands-on Azure AI guidance
  • ✅ Updated for current Azure AI platform

AI-102 Frequently Asked Questions

Is AI-102 difficult?
AI-102 is intermediate-level and requires basic Azure knowledge.

Is AI-102 worth it in 2026?
Yes. It is the official Azure AI Engineer certification recognized by Microsoft.

Do I need coding knowledge?
Basic Python or C# knowledge is helpful but not mandatory.


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Microsoft AI-102 Exam Dumps FAQs

The Microsoft AI-102 Azure AI Engineer Associate Certification is a professional certification that verifies an individuals expertise in designing, building, testing, and maintaining AI solutions in Microsoft Azure. As an Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI. Your responsibilities include participating in all phases of AI solutions development, including: Requirements definition and design, Development, Deployment, Integration, Maintenance, Performance tuning, and Monitoring.

There are no prerequisites for the Microsoft AI-102 Azure AI Engineer Associate Certification. However, it is recommended that candidates have experience with Azure fundamentals, Azure data storage options, Azure data processing options, and Azure AI fundamentals.

Clearcatnet are always keep prep exam material up-to-date by considering the all freqent changes in exam skills measured and provide immense view of questions & answers along with explnataions note and reference links for the same to clear any doubt/clarifications about particualr questions or topic. In a such way, we make you confident for a best preparations & practices so that you can prepare fully and ready to take your exam to ensure your success in FIRST ATTEMPT ONLY!

The Microsoft AI-102 Azure AI Engineer Associate Certification exam is a multiple-choice exam that consists of 40-60 questions.

The passing score for the Microsoft AI-102 Azure AI Engineer Associate Certification exam is 700 out of 1000.

The Microsoft AI-102 Azure AI Engineer Associate Certification is valid for two years. After two years, you will need to recertify to maintain your certification.

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The Microsoft AI-102 Azure AI Engineer Associate Certification exam measures your ability to accomplish the following technical tasks:

  • Plan and manage an Azure AI solution
  • Implement decision-support solutions
  • Implement computer vision solutions
  • Implement natural language processing solutions
  • Implement knowledge mining solutions and document intelligence solutions
  • Implement generative AI solutions

The difficulty of the Microsoft AI-102 Azure AI Engineer Associate Certification exam can vary depending on your experience and knowledge of the topics covered. The exam covers a wide range of topics, including Translation, Language, Speech, Search, Computer Vision, and more.

Microsoft AI-102 and Microsoft AI-102 are two different exams that test different skills.

  • The Microsoft AI-102 Azure AI Engineer Associate Certification exam is intended for software developers who want to build AI-infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI.
  • On the other hand, the Microsoft AI-102 Certification exam is intended for individuals who want to demonstrate their foundational knowledge of machine learning and artificial intelligence (AI) concepts, and related Microsoft Azure services.

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