Microsoft AI-102日本語 valid dump torrent : Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
- Exam Code: AI-102J
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
- Updated: Jul 27, 2026
- Q&As: 425 Questions and Answers
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To prepare for the Microsoft AI-102 exam, candidates should have a strong understanding of Azure services and AI concepts. They should also have experience in designing and implementing AI solutions, as well as knowledge of programming languages such as Python and C#. In addition, candidates should be familiar with machine learning concepts such as supervised and unsupervised learning, deep learning, and reinforcement learning. With the Microsoft AI-102 certification, professionals can demonstrate their expertise in AI solution development and implementation on the Azure platform, opening up opportunities for career advancement and higher salaries.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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The AI-102 certification exam covers a wide range of topics related to Azure AI, including designing AI solutions that use cognitive services, machine learning, and other AI technologies. AI-102J exam also covers topics such as data preparation, natural language processing, and computer vision. Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) certification exam is intended for professionals who are looking to build their skills in AI and machine learning, and who want to demonstrate their expertise in this area to potential employers.
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The AI-102 certification exam consists of multiple-choice questions and performance-based scenarios. Candidates are given a limited amount of time to complete the exam, and they must pass with a score of at least 700 out of 1000 points to earn the certification. AI-102J exam can be taken online or in a testing center, and it is recommended that candidates prepare thoroughly by taking online courses, reading technical documentation, and practicing with sample questions.
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Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 15-20% | - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models - Deploy and manage generative models |
| Topic 2: Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration |
| Topic 3: Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Extract text and handwriting from images - Build and deploy custom vision models - Integrate vision capabilities into applications - Process and index video content |
| Topic 4: Plan and manage an Azure AI solution | 20-25% | - Monitor, optimize, and secure AI solutions - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Select suitable AI models |
| Topic 5: Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes |
| Topic 6: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Customize and deploy NLP models - Build conversational AI and chatbots |
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