- 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
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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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Schedule exam
Languages: English, Japanese, Chinese (Simplified), Korean
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.
Prep Options to Choose
The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.
In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!
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Microsoft AI-102 Korean Exam Syllabus Topics:
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
소매 도메인을 사용하여 Azure Custom Vision 개체 감지 모델을 학습시켜 회사의 제품을 식별합니다.
Android 휴대폰용 모바일 앱의 일부로 모델을 배포할 계획입니다.
배포를 위해 모델을 준비해야 합니다.
어떤 세 가지 동작을 순서대로 수행해야 할까요? 답하려면 동작 목록에서 해당 동작을 정답 영역으로 옮겨 올바른 순서대로 정리하세요.
Correct Answer:
Explanation:
For deployment to a mobile app (Android), Custom Vision requires a compact domain so the model can be exported and run on-device (e.g., as TensorFlow Lite or ONNX). The model was trained using the Retail domain, which is not an exportable compact domain for object detection. Therefore:
Change the model domain to an exportable Object Detection (compact) domain (e.g., General [compact]).
Retrain the model so weights are learned under the new domain-domain changes require retraining.
Export the model for Android (typically TensorFlow Lite or ONNX) and integrate it into the app.
This sequence prepares the model for on-device mobile deployment with minimal extra development.
References (Microsoft Azure AI Solution)
Custom Vision: Only compact domains support model export for edge/mobile.
Changing a domain requires retraining the iteration.
Exporting object detection models supports TensorFlow/TensorFlow Lite/ONNX formats for Android integration.
스캔한 송장 이미지 5,000개가 저장된 파일 공유 폴더가 있습니다.
이미지를 분석해야 합니다. 솔루션은 다음 데이터를 추출해야 합니다.
* 송장 항목
* 매출액
* 고객 정보
무엇을 사용해야 할까요?
- A. Azure AI 몰입형 리더
- B. Azure Al Vision
- C. Azure Custom Vision
- D. Azure AI 문서 인텔리전스
Correct Answer: D 🗳️
여러 앱에서 사용되는 Search 1이라는 Azure Cognitive Search 리소스가 있습니다. Search 1을 보호해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* 인터넷에서 Search1에 접근하는 것을 차단합니다.
* 각 앱의 접근을 특정 쿼리로 제한합니다.
어떻게 해야 하나요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요. 참고: 정답은 1점입니다.
Correct Answer:
Explanation:
You are securing an Azure Cognitive Search resource with two specific requirements:
Prevent access to Search1 from the internet
The correct way is to use a private endpoint.
A private endpoint connects the Cognitive Search resource directly into your virtual network (VNet), blocking public internet access.
Configuring an IP firewall can restrict access to specific IP ranges but does not fully prevent internet access.
Azure roles and authentication do not address network-level restrictions.
Limit the access of each app to specific queries
This is done via Azure role-based access control (RBAC).
You can assign different Azure roles or API keys with query rights to control what each app can do.
Key authentication alone only provides coarse-grained access (admin/query keys) but does not allow fine- grained per-app restrictions.
RBAC ensures principle of least privilege is enforced.
The answer:
Prevent access from internet # Create a private endpoint
Limit access to queries # Use Azure roles
Microsoft References
Secure access to Azure Cognitive Search using private endpoints
Role-based access control in Azure Cognitive Search
Azure Cognitive Search를 사용하는 웹앱이 있습니다.
앱 결제 내역을 확인해 보니 예상보다 훨씬 높은 요금이 청구되었습니다. 쿼리 키가 손상된 것으로 의심됩니다.
검색 엔드포인트에 대한 무단 접근을 방지하고 사용자에게 문서 컬렉션에 대한 읽기 전용 권한만 부여해야 합니다. 솔루션은 앱 다운타임을 최소화해야 합니다.
어떤 세 가지 동작을 순서대로 수행해야 할까요? 답하려면 동작 목록에서 해당 동작을 정답 영역으로 옮겨 올바른 순서대로 정리하세요.
Correct Answer:
Explanation:
You are using Azure Cognitive Search, where access is controlled by:
Admin keys: Provide full read/write control (never given to apps).
Query keys: Provide read-only access, meant for client apps.
Here, the query key has been compromised. You want to minimize downtime and ensure continued read-only access.
Step 1 - Add a new query key
First, generate a new query key from the Azure portal or via REST API.
This allows you to continue providing read-only access to authorized apps.
Step 2 - Change the app to use the new key
Update the application configuration so that it authenticates requests with the new query key.
This ensures uninterrupted service while preparing to retire the compromised key.
Step 3 - Delete the compromised key
Once the app is using the new key successfully, revoke the compromised query key.
This prevents further unauthorized usage.
Why not other options?
Regenerate primary/secondary admin key: Not necessary since only the query key is compromised, and admin keys give full control.
Change app to use secondary admin key: Insecure (admin keys should never be exposed to client apps).
Correct Sequence
Add a new query key.
Change the app to use the new key.
Delete the compromised key.
Microsoft References
Manage admin and query keys in Azure Cognitive Search
Create and use query keys
Azure AI Language 서비스를 사용하여 텍스트를 처리하고 있습니다.
텍스트에서 밴드 이름을 식별해야 합니다. 솔루션은 개발 노력을 최소화해야 합니다.
무엇을 사용해야 하나요?
- A. 대화형 언어 이해(CLU)
- B. 핵심어 추출
- C. 엔티티 연결
- D. 사용자 정의 명명된 엔터티 인식(NER)
Correct Answer: C 🗳️
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