PDF Version DemoSkills measured
- Analyze solution requirements (25-30%)
- Design AI solutions (40-45%)
- Implement and monitor AI solutions (25-30%)
Along with the coming of the information age, the excellent IT skills are the primary criterion for selecting talent of enterprises. Microsoft Certification gives an IT a credential that is recognized in the IT industry. It can act as a passport to a well-rewarded job, smooth the path to promotion or higher earnings. Here, Microsoft certification AI-100日本語 exam (Designing and Implementing an Azure AI Solution (AI-100日本語版)) is a very important exam to help you get better progress and to test your IT skills.
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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.
How much AI-100 Exam Cost
The price of the AI-100 exam is $165 USD.
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
Microsoft AI-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze Solution Requirements | 25-30% | - Evaluate data storage and processing options - Define solution performance and scalability criteria - Assess security, compliance, and governance needs - Identify business and technical requirements |
| Topic 2: Design AI Solutions | 40-45% | - Integrate open-source and custom AI components - Design knowledge mining and search solutions - Design computer vision solutions - Design natural language processing solutions - Select appropriate Azure Cognitive Services - Design conversational AI and bot solutions |
| Topic 3: Implement and Monitor AI Solutions | 25-30% | - Integrate AI models and services into applications - Configure security and access controls - Monitor performance, usage, and health - Deploy AI solutions to Azure infrastructure - Maintain and update AI solutions |
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