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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: | USD 165 (varies by country/region) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Exam Format: | Build/review solution scenarios, Drag and drop, Multiple choice, Multiple response, Case studies |
| Real Exam Qty: | 40-60 (approximate range) |
| Exam Duration: | 100-120 |
| Available Languages: | English, Portuguese (Brazil), Japanese, Simplified Chinese, German, Korean, French, Spanish (Latin America) |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Recommended Training: | Microsoft Learn AI-102 Learning Path Azure AI Engineer Associate Study Resources |
| Exam Registration: | Microsoft Certification Exam Registration (Pearson VUE) Microsoft Learn AI-102 Certification Page |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Computer Vision Solutions | - Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision |
| Implement Generative AI Solutions | - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions - Build retrieval-augmented generation (RAG) solutions |
| Implement Knowledge Mining and Document Intelligence | - Enrich and index data for search scenarios - Implement document intelligence solutions - Build Azure AI Search solutions |
| Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language - Implement question answering and conversational AI |
| Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Essentials: What Candidates Ask
- Implement Knowledge Mining and Document Intelligence ()
- Plan and Manage an Azure AI Solution ()
- Implement Computer Vision Solutions ()
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제는 명시된 목표를 충족할 수 있는 고유한 답안을 포함하고 있습니다. 일부 문제 세트에는 정답이 두 개 이상 있을 수 있고, 다른 문제 세트에는 정답이 없을 수 있습니다.
이 섹션의 질문에 답변한 후에는 해당 질문으로 돌아갈 수 없습니다. 따라서 해당 질문은 복습 화면에 표시되지 않습니다.
언어 이해 서비스를 사용하여 언어 모델을 구축합니다. 이 언어 모델은 FindContact라는 인텐트를 사용하여 연락처 목록에서 정보를 검색하는 데 사용됩니다.
대화 전문가는 훈련에 사용할 수 있는 다음과 같은 문구 목록을 제공합니다.
런던에서 연락처를 찾아보세요.
시애틀에 아는 사람이 있나요? 우크라이나에 있는 연락처를 검색해 보세요.
Language Understanding에서 구문 목록을 구현해야 합니다.
해결 방법: 도메인에 대한 새 엔터티를 만듭니다.
이것이 목표를 달성하는가?
- A. 네
- B. 아니요
Correct Answer: B 🗳️
Explanation: Only visible for Prep4King members. You can sign-up / login (it's free).
당신은 챗봇을 만들고 있습니다.
지식 기반을 쿼리하려면 챗봇을 구성해야 합니다.
어떤 대화 클래스를 사용해야 하나요?
- A. 스킬다이얼로그
- B. 컴포넌트 다이얼로그
- C. QnAMakerDialog
- D. 적응형 대화 상자
Correct Answer: C 🗳️
Explanation: Only visible for Prep4King members. You can sign-up / login (it's free).
Azure OpenAI 리소스가 포함된 Azure 구독이 있습니다.
GPT-4 모델을 리소스에 배포합니다.
모델의 기초 데이터로 사용될 파일을 업로드할 수 있는지 확인해야 합니다.
어떤 두 가지 유형의 리소스를 만들어야 할까요? 각 정답은 해결책의 일부를 제시합니다.
참고: 정답 하나당 1점입니다.
- A. Azure Al 검색
- B. Azure SQL
- C. Azure AI 문서 인텔리전스
- D. Azure AI Bot 서비스
- E. Azure Blob 저장소
Correct Answer: A,E 🗳️
Explanation: Only visible for Prep4King members. You can sign-up / login (it's free).
텍스트 입력의 의도를 식별하는 Model이라는 Azure Cognitive Services 모델이 있습니다.
C#으로 App1이라는 앱을 개발합니다.
Model1을 사용하려면 App1을 구성해야 합니다.
App1에 어떤 패키지를 추가해야 하나요?
- A. Azure.AI.Language.Conversations
- B. Xamarin.Cognitive.Speech
- C. Universal.Microsoft.CognitiveServices.Speech
- D. SpeechServicesToolkit
Correct Answer: C 🗳️
Microsoft Bot Framework Composer를 사용하여 챗봇을 만들고 있습니다.
다음 그림은 대화 상자의 디자인을 보여줍니다.
다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
The screenshot shows a Bot Framework Composer dialog that collects user input:
user.name is an entity.
False.
user.name is a property in bot state (a variable), not an entity.
Entities are part of LUIS/NLU models (e.g., PersonName, DateTime).
The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties.
True.
The dialog explicitly has:
A Bot Asks (Text) step # assigns user's response to user.name .
A Bot Asks (Number) step # assigns response to user.age .
So the values are stored in those properties.
The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.
True.
On the right-hand side, the Value expression is:
=coalesce(@userName, @personName)
coalesce returns the first non-null value.
This means if userName entity is available, it is used; otherwise, personName is used.
That result is assigned to user.name .
Correct Answers:
No
Yes
Yes
Microsoft References
Bot Framework Composer - Manage variables and properties
Bot Framework Composer - Recognizers and entities
Coalesce function in Composer expressions
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