Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam
Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
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Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:
| Exam Name | Microsoft Certified - Azure AI Engineer Associate |
| Exam Code | AI-102 |
| Sample Questions | Designing and Implementing a Microsoft Azure AI Solution Sample Questions |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
| Books / Training | Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Passing Score | 700 / 1000 |
| Duration | 130 mins |
| Schedule Exam | Pearson VUE |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Analyze images using Azure AI Vision - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Topic 2: Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions |
| Topic 3: Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI |
| Topic 4: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Monitor and optimize decision support solutions - Design and implement decision automation |
| Topic 5: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Create custom skills for Azure AI Search - Implement semantic and vector search - Implement Azure AI Search solutions |
| Topic 6: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech |
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