- Exam Code: AI-100
- Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)
- Certification Provider: Microsoft
- Corresponding Certification:Azure AI Engineer Associate
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Main Prerequisites
Before you decide to take the Microsoft AI-100 exam, it is important that you understand all the knowledge requirements for this test. The exam is not designed for the general public, so you need to possess certain competence before attempting it. The target candidates for this certification test should have the following skills:
- Familiarity with data storage in Azure, Azure Cognitive Search, Microsoft Azure Cognitive Services, and Azure Bot Service.
- Ability to put forward solutions that utilize open source technologies with understanding the elements that make up the Azure AI portfolio along with the available data storage options.
- Understanding when a custom API should be developed to satisfy certain business requirements.
- Expertise in implementing and designing AI applications and agents that utilize Microsoft Azure Cognitive Services.
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Certification Path
The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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What is the duration of the AI-100 Exam
- Length of Examination: 120 minutes
- Format: Multiple choices, multiple answers
- Passing Score: 700/1000
- Number of Questions: 45-55
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Microsoft AI-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design AI Solutions | 40-45% | - Select appropriate Azure Cognitive Services - Design natural language processing solutions - Design knowledge mining and search solutions - Design computer vision solutions - Design conversational AI and bot solutions - Integrate open-source and custom AI components |
| Analyze Solution Requirements | 25-30% | - Define solution performance and scalability criteria - Assess security, compliance, and governance needs - Identify business and technical requirements - Evaluate data storage and processing options |
| Implement and Monitor AI Solutions | 25-30% | - Deploy AI solutions to Azure infrastructure - Configure security and access controls - Monitor performance, usage, and health - Maintain and update AI solutions - Integrate AI models and services into applications |
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