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What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam
- Language: English, Japanese, Chinese (Simplified), Korean.
- Passing Score: 700 / 1000
- Type of Questions: This test format is multiple choice.
- Length of Examination: 50 mins
- This is beta exam.
- Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation |
| Topic 2: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Topic 3: Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service |
| Topic 4: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Design document processing pipelines - Implement semantic and vector search - Implement Azure AI Search solutions |
| Topic 5: Implement Computer Vision Solutions | 15-20% | - Process video and generate insights - Implement object detection and image classification - Analyze images using Azure AI Vision - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence |
| Topic 6: Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications |
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