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What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam
- Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
- This is beta exam.
- Passing Score: 700 / 1000
- Language: English, Japanese, Chinese (Simplified), Korean.
- Length of Examination: 50 mins
- Type of Questions: This test format is multiple choice.
For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.
Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Implement semantic and vector search |
| Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Process video and generate insights |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Apply responsible AI practices - Implement prompt engineering techniques |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions |
