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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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
To be eligible for the Microsoft AI-102 certification exam, you should have a strong understanding of Azure and AI technologies. You should also have experience in developing and deploying AI solutions using Azure services. Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) certification exam is ideal for solution architects, developers, and data scientists who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. Passing AI-102-KR exam validates your skills and knowledge in using Azure AI technologies to meet business requirements and solve real-world challenges.
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Integrate Azure AI services into applications - Monitor and optimize decision support solutions |
| Topic 2: Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques |
| Topic 3: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Create custom skills for Azure AI Search - Design document processing pipelines |
| Topic 4: Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Analyze images using Azure AI Vision - Process video and generate insights - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence |
| Topic 5: Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Translate text and speech - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |








