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The Microsoft AI-102J exam covers various topics related to AI, including natural language processing, computer vision, decision-making, and speech recognition. It also tests the candidate's ability to design and implement solutions using Azure AI services such as Azure Cognitive Services, Azure Bot Service, Azure Machine Learning, and Azure Databricks.
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Preparing for the AI-102 exam requires a comprehensive understanding of the concepts and technologies involved in designing and implementing Azure AI solutions. Candidates should focus on gaining hands-on experience with Azure AI services and tools, as well as studying the relevant exam materials and resources. With the right preparation, candidates can pass the AI-102 exam and earn the Microsoft Certified: Azure AI Engineer Associate certification, proving their expertise in AI solution design and implementation.
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 | Objectives |
|---|---|
| Topic 1: Implement Natural Language Processing Solutions | - Implement question answering and conversational AI - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services |
| Topic 2: Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
| Topic 3: Implement Computer Vision Solutions | - Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision |
| Topic 4: Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Enrich and index data for search scenarios - Build Azure AI Search solutions |
| Topic 5: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
