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Exam AI-100: Designing and Implementing an Azure AI Solution

THIS EXAM RETIRED ON JUNE 30, 2021. A replacement exam, AI-102, is available. For more information, visit the AI-102 exam details page.

Candidates for this exam should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.

Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.

A candidate for this exam should have knowledge and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. In addition, a candidate should be able to recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements.

Part of the requirements for: none

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Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

Microsoft AI-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design AI Solutions40-45%- Integrate open-source and custom AI components
- Design knowledge mining and search solutions
- Design conversational AI and bot solutions
- Design computer vision solutions
- Select appropriate Azure Cognitive Services
- Design natural language processing solutions
Implement and Monitor AI Solutions25-30%- Deploy AI solutions to Azure infrastructure
- Configure security and access controls
- Integrate AI models and services into applications
- Maintain and update AI solutions
- Monitor performance, usage, and health
Analyze Solution Requirements25-30%- Assess security, compliance, and governance needs
- Evaluate data storage and processing options
- Define solution performance and scalability criteria
- Identify business and technical requirements

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