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

AI-102 pass collection

Exam Code: AI-102

Exam Name: Designing and Implementing a Microsoft Azure AI Solution

Updated: Jun 30, 2026

Q & A: 425 Questions and Answers

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About Microsoft AI-102 Exam

Microsoft AI-102 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement natural language processing solutions: This domain involves text and speech processing, including sentiment analysis, translation, speech-to-text and text-to-speech implementation, building language understanding models, and creating question answering systems.
Topic 2
  • Plan and manage an Azure AI solution: This domain covers selecting appropriate Azure AI services for various solution types, planning and deploying resources following Responsible AI principles, managing authentication and costs, and implementing content moderation and safety controls.
Topic 3
  • Implement knowledge mining and information extraction solutions: This domain covers extracting structured data from unstructured sources using Azure AI Search, Document Intelligence for form processing, and Content Understanding for OCR and document analysis.
Topic 4
  • Implement generative AI solutions: This domain focuses on building solutions with Microsoft Foundry and Azure OpenAI, including deploying models, implementing prompt flows and RAG patterns, generating content, and optimizing through parameter tuning and prompt engineering.

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

Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:

Number of Questions40-60
Passing Score700 / 1000
Exam NameMicrosoft Certified - Azure AI Engineer Associate
Duration130 mins
Books / TrainingCourse AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Exam Price$165 (USD)
Sample QuestionsDesigning and Implementing a Microsoft Azure AI Solution Sample Questions
Exam CodeAI-102
Schedule ExamPearson VUE

Skills measured

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

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Prerequisites

Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.

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