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

"Designing and Implementing a Microsoft Azure AI Solution", also known as AI-102 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 425 Q&As to your AI-102 Exam preparation. In the AI-102 exam resources, you will cover every field and category in Azure AI Engineer Associate Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: AI-102
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution
  • Certification Provider: Microsoft
  • Corresponding Certification: Azure AI Engineer Associate
  • Updated: Sep 10, 2026
  • No. of Questions: 425 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Exam Details

Speaking of the exam details, the test will contain from 40 to 60 questions of various types which you need to complete within 100 or 120 minutes (depends on the inclusion of labs). To pass the exam you need to schedule the test on the PearsonVUE platform, pay an exam fee which is currently $165, and score at least 700 points or more out of 1000. And, of course, the knowledge of exam topics is a must.

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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.

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

Skills measured

  • Implement natural language processing solutions (20-25%)
  • Implement conversational AI solutions (15-20%)
  • Implement Computer Vision solutions (20-25%)
  • Plan and manage an Azure Cognitive Services solution (15-20%)
  • Implement knowledge mining solutions (15-20%)

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Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement natural language processing solutions15-20%- Build conversational AI and chatbots
- Implement translation and summarization
- Customize and deploy NLP models
- Perform text analysis, sentiment detection, and language detection
Topic 2: Implement computer vision solutions10-15%- Analyze images and detect objects/features
- Extract text and handwriting from images
- Process and index video content
- Build and deploy custom vision models
- Integrate vision capabilities into applications
Topic 3: Implement knowledge mining and information extraction solutions15-20%- Build knowledge bases and search indexes
- Extract entities, relationships, and key phrases
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
Topic 4: Implement an agentic solution5-10%- Develop multi-agent workflows and orchestration
- Understand agent use cases and types
- Test, deploy, and optimize agents
- Build agents with Microsoft Foundry Agent Service
Topic 5: Plan and manage an Azure AI solution20-25%- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Plan solutions aligned with responsible AI principles
- Select suitable AI models
- Monitor, optimize, and secure AI solutions
- Select appropriate Microsoft Foundry Services
- Create and configure Azure AI resources
Topic 6: Implement generative AI solutions15-20%- Integrate Azure OpenAI and other generative models
- Apply prompt engineering and fine-tuning
- Orchestrate multiple models and containers
- Deploy and manage generative models
- Implement model monitoring and feedback

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