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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.
- Length of Examination: 50 mins
- Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
- Passing Score: 700 / 1000
- Type of Questions: This test format is multiple choice.
- This is beta exam.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Exam Details
Speaking of the exam details, the test will contain from 40 to 60 questions of various types which you need to complete within 100 or 120 minutes (depends on the inclusion of labs). To pass the exam you need to schedule the test on the PearsonVUE platform, pay an exam fee which is currently $165, and score at least 700 points or more out of 1000. And, of course, the knowledge of exam topics is a must.
Skills measured
- Implement conversational AI solutions (15-20%)
- Implement natural language processing solutions (20-25%)
- Implement Computer Vision solutions (20-25%)
- Plan and manage an Azure Cognitive Services solution (15-20%)
- Implement knowledge mining solutions (15-20%)
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement semantic and vector search - Create custom skills for Azure AI Search - Implement Azure AI Search solutions |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification - Process video and generate insights - Analyze images using Azure AI Vision |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Apply responsible AI practices |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
| Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language |
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