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

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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

Download exam skills outline

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.

How much AI-100 Exam Cost

The price of the AI-100 exam is $165 USD.

Microsoft AI-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Analyze Solution Requirements25-30%- Analyze AI workloads
  • 1. Identify business requirements
  • 2. Select appropriate Azure AI services
  • 3. Determine data requirements
Design AI Solutions40-45%- Design natural language processing solutions
  • 1. Translation solutions
  • 2. Language understanding solutions
  • 3. Text analytics solutions
- Design conversational AI solutions
  • 1. Bot architecture
  • 2. Knowledge integration
  • 3. Conversational workflows
- Design computer vision solutions
  • 1. Image classification solutions
  • 2. Object detection solutions
  • 3. OCR and text extraction solutions
Implement and Monitor AI Solutions25-30%- Monitor and optimize solutions
  • 1. Logging and diagnostics
  • 2. Performance monitoring
  • 3. Model and service optimization
- Implement AI services
  • 1. Configure security and authentication
  • 2. Deploy Azure Cognitive Services
  • 3. Integrate AI APIs and SDKs

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