Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版): AI-102 Exam
"Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)", also known as AI-102 exam, is a Microsoft Certification. With the complete collection of questions and answers, ExamcollectionPass 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.
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- Exam Code: AI-102
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
- Certification Provider: Microsoft
- Corresponding Certification: Azure AI Engineer Associate
- Updated: Sep 05, 2026
- No. of Questions: 425 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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How to Prepare For AI-102: Designing and Implementing an Azure AI Solution Exam
Preparation Guide for AI-102: Designing and Implementing an Azure AI Solution Exam
Introduction
Microsoft has created a track for Azure professionals analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements, to get certified this platform. solution architects translate the vision and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets Microsoft's proficiency standards.
This certification been actually designed for aspirants design and implement AI apps and agents that use Microsoft Azure Cognitive Services.
For this exam candidate having proficiency in using cognitive service APIs to meet business requirements, appropriate AI models and services, automation requirements, data privacy and protection , bot state data , cognitive service output would be an added advantage.
Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work as AI solution architect and prove his knowledge, certification offered by Microsoft. This AI-102 Exam Certification helps a candidate to validates his skills in Azure platform.
In this guide, we will cover the AI-102: Designing and Implementing an Azure AI Solution Certification exam, AI-102: Designing and Implementing an Azure AI Solution Certified professional salary and all aspects of the AI-102: Designing and Implementing an Azure AI Solution Certification.
Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:
| Books / Training | Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Exam Code | AI-102 |
| Exam Price | $165 (USD) |
| Schedule Exam | Pearson VUE |
| Passing Score | 700 / 1000 |
| Number of Questions | 40-60 |
| Sample Questions | Designing and Implementing a Microsoft Azure AI Solution Sample Questions |
| Exam Name | Microsoft Certified - Azure AI Engineer Associate |
| Duration | 130 mins |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Monitor and optimize decision support solutions - Design and implement decision automation |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Process video and generate insights |
| Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Build question answering solutions - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Create custom skills for Azure AI Search - Design document processing pipelines - Implement Azure AI Search solutions |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Apply responsible AI practices |
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