Microsoft AI-102 Korean Exam Details & Actual Exam Questions
- Exam Code/Number: AI-102 Korean
- Exam Name/Title: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
- Certification Provider: Microsoft
- Corresponding Certification: Azure AI Engineer Associate
- Exam Questions: 425
- Updated On: Sep,07 2026
- Certification Level: Associate
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Exam Questions
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Microsoft AI-102 Korean Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | $165 USD (varies by region: £113 GBP, €126 EUR) |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 40-60 |
| Exam Format: | Performance-based scenarios, Hot area, Multiple select, Multiple choice, Case studies, Drag-and-drop |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Available Languages: | Spanish, Japanese, English, Italian, German, Korean, French, Arabic (Saudi Arabia), Indonesian, Portuguese (Brazil), Chinese (Simplified) |
| Passing Score: | 700 (scaled score out of 1000) |
| Recommended Training: | AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Microsoft Learn Learning Paths for AI-102 |
| Exam Registration: | Microsoft Certification Exam Registration Pearson VUE Scheduling |
| Sample Questions: | Microsoft AI-102 Korean Sample Questions |
| Exam Way: | Online proctored (OnVUE) or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102 |
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers - Implement model monitoring and feedback - Apply prompt engineering and fine-tuning - Deploy and manage generative models |
| Topic 2: Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Select suitable AI models - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions |
| Topic 3: Implement computer vision solutions | 10-15% | - Extract text and handwriting from images - Build and deploy custom vision models - Integrate vision capabilities into applications - Analyze images and detect objects/features - Process and index video content |
| Topic 4: Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Customize and deploy NLP models |
| Topic 5: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents |
| Topic 6: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Implement intelligent search and retrieval |
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