Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version): AI-102 Exam
"Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)", also known as AI-102 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 425 Q&As to your AI-102 Exam preparation. In the AI-102 exam resources, you will cover every field and category in Azure AI Engineer Associate Certification helping to ready you for your successful Microsoft Certification.
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- Exam Code: AI-102
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
- Certification Provider: Microsoft
- Corresponding Certification: Azure AI Engineer Associate
- Updated: Aug 17, 2026
- No. of Questions: 425 Questions & Answers with Testing Engine
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The benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification
- AI-102 Certification is distinguished among competitors. AI-102 certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
- AI-102 Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
- AI-102 certified candidates will be confident and stand different from others as their skills are more trained than non-certified professionals.
- AI-102 certification has more useful and relevant networks that help them in setting career goals for themselves. AI-102 networks provide them with the correct career guidance than non certified generally are unable to get.
- AI-102 credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of designing and implementing an Azure AI Solution
- AI-102 Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
- This certification credential will give you edge over other counterparts. Apart from knowledge from AI-102: Designing and Implementing an Azure AI Solution Exam.
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- This certification will be judging your skills and knowledge on your understanding Designing and Implementing an Azure AI Solution concepts & Understanding of how to operate on Planning and Administering Designing and Implementing an Azure AI Solution .
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
- Passing Score: 700 / 1000
- 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.
- Language: English, Japanese, Chinese (Simplified), Korean.
How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration |
| Topic 2: Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback |
| Topic 3: Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Select suitable AI models - Plan solutions aligned with responsible AI principles |
| Topic 4: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 5: Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes |
| Topic 6: Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Build and deploy custom vision models - Extract text and handwriting from images - Process and index video content - Integrate vision capabilities into applications |
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