To pass the AI-100 exam, candidates must demonstrate their proficiency in various areas, including understanding business requirements, designing AI solutions, implementing AI models, and monitoring AI solutions. AI-100J exam covers a wide range of topics, such as Azure Cognitive Services, Azure Bot Services, Azure Machine Learning, and Azure Databricks. AI-100J exam also tests the candidate's knowledge of Azure AI infrastructure, such as compute, storage, and networking.
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Microsoft AI-100 Certification Exam is designed for professionals who want to showcase their knowledge and expertise in implementing AI solutions on the Azure platform. AI-100J exam validates the candidate's ability to design and implement AI solutions that meet business requirements using Azure services and technologies. Designing and Implementing an Azure AI Solution (AI-100日本語版) certification is ideal for professionals who have experience in developing AI solutions and want to enhance their skills in designing and implementing AI solutions on Azure.
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
The Designing and Implementing an Azure AI Solution (AI-100日本語版) certification exam consists of various types of questions, including multiple-choice, short answer, and scenario-based questions. Candidates are required to demonstrate their ability to design and implement AI solutions in a practical setting. They must also be able to analyze and interpret data, identify patterns, and make data-driven decisions.
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Microsoft AI-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Design AI Solutions | 40-45% | - Design conversational AI solutions
- 1. Bot architecture
- 2. Conversational workflows
- 3. Knowledge integration
- Design computer vision solutions
- 1. Image classification solutions
- 2. OCR and text extraction solutions
- 3. Object detection solutions
- Design natural language processing solutions
- 1. Language understanding solutions
- 2. Text analytics solutions
- 3. Translation solutions
|
| Implement and Monitor AI Solutions | 25-30% | - Implement AI services
- 1. Deploy Azure Cognitive Services
- 2. Configure security and authentication
- 3. Integrate AI APIs and SDKs
- Monitor and optimize solutions
- 1. Model and service optimization
- 2. Performance monitoring
- 3. Logging and diagnostics
|
| Analyze Solution Requirements | 25-30% | - Analyze AI workloads
- 1. Determine data requirements
- 2. Identify business requirements
- 3. Select appropriate Azure AI services
|