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Designing and Implementing an Azure AI Solution AI-100 Exam
Designing and Implementing an Azure AI Solution AI-100 Exam which is related to Microsoft Azure AI Solution and credits toward Microsoft Certified Azure AI Engineer Associate certifications. This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio. Candidate must have a strong understanding of basic statistics, data ethics, data privacy, various aspects of the Microsoft Azure AI portfolio, related open source frameworks and technologies, and available data storage options. This exam verifies the Candidates have the ability to use their knowledge of cost models, capacity, and best practices to architect and implement Artificial Intelligence (AI) Solution using Microsoft Azure.
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Skills measured
- Analyze solution requirements (25-30%)
- Implement and monitor AI solutions (25-30%)
- Design AI solutions (40-45%)
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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Microsoft AI-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Implement and Monitor AI Solutions | 25-30% | - Monitor performance, usage, and health
- Configure security and access controls
- Maintain and update AI solutions
- Integrate AI models and services into applications
- Deploy AI solutions to Azure infrastructure
|
| Topic 2: Analyze Solution Requirements | 25-30% | - Evaluate data storage and processing options
- Identify business and technical requirements
- Define solution performance and scalability criteria
- Assess security, compliance, and governance needs
|
| Topic 3: Design AI Solutions | 40-45% | - Design conversational AI and bot solutions
- Design knowledge mining and search solutions
- Design computer vision solutions
- Design natural language processing solutions
- Integrate open-source and custom AI components
- Select appropriate Azure Cognitive Services
|