What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam
- Type of Questions: This test format is multiple choice.
- Length of Examination: 50 mins
- This is beta exam.
- Language: English, Japanese, Chinese (Simplified), Korean.
- 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
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Prerequisites
Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.
Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:
| Exam Price | $165 (USD) |
| Passing Score | 700 / 1000 |
| Exam Code | AI-102 |
| Schedule Exam | Pearson VUE |
| Exam Name | Microsoft Certified - Azure AI Engineer Associate |
| Duration | 130 mins |
| Number of Questions | 40-60 |
| Sample Questions | Designing and Implementing a Microsoft Azure AI Solution Sample Questions |
| Books / Training | Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
| Topic 2: Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions |
| Topic 3: Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Implement custom vision models - Analyze images and videos using Azure AI Vision |
| Topic 4: Implement Knowledge Mining and Document Intelligence | - Enrich and index data for search scenarios - Implement document intelligence solutions - Build Azure AI Search solutions |
| Topic 5: Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services - Implement question answering and conversational AI |
