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Last Updated: Oct 30, 2026
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How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
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Prerequisites
Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques |
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Translate text and speech |
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Process video and generate insights - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
감정 분석 및 광학 문자 인식(OCR)을 수행하는 데 사용할 새 리소스를 생성해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
단일 키와 엔드포인트를 사용하여 여러 서비스에 액세스하세요.
나중에 사용할 수 있는 서비스에 대한 청구를 통합하세요.
미래에 컴퓨터 비전의 사용을 지원합니다.
새 리소스를 생성하기 위한 HTTP 요청을 어떻게 완료해야 할까요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
To create a single multi-service Cognitive Services resource (now Azure AI Services) that provides one key
/endpoint for multiple services , consolidates billing, and allows adding services like Text Analytics (sentiment analysis) and Computer Vision (OCR) from the same resource, you must:
Use the Azure Resource Manager (ARM) REST API with PUT to create or update the account:
PUT /subscriptions/{subId}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{name}?
api-version=2017-04-18
Set " kind " : " CognitiveServices " to create the multi-service account (not a single-service kind like ComputerVision or TextAnalytics).
This satisfies the requirements: single key/endpoint, consolidated billing, and future Computer Vision use.
Microsoft Azure AI Solution References
ARM REST for Cognitive Services accounts (create/update via PUT , multi-service " kind " : " CognitiveServices " ).
https://learn.microsoft.com/azure/ai-services/management/resource-manager-create-account Azure AI Services multi-service resource (single endpoint/key across services).
https://learn.microsoft.com/azure/ai-services/multi-service-resource
시맨틱 커널을 사용하여 에이전트를 구축하고 있습니다. 에이전트는 사용자 지정 플러그인을 사용합니다. 에이전트가 다음 요구 사항을 충족하는지 확인해야 합니다.
* 에이전트는 함수 호출을 사용해야 합니다.
* 지침과 일치하는 모든 기능이 작동되어야 합니다.
* 사용자가 함수에 필요한 모든 매개변수를 제공하지 못하면 에이전트가 해당 매개변수를 모두 요청해야 합니다.
코드를 어떻게 완성해야 할까요? 답하려면 다음 중 적절한 답을 선택하세요. 참고: 정답은 1점입니다.
Correct Answer:
Explanation:
You are adding a custom plugin to a Semantic Kernel-based agent and you want function calling to be enforced and self-completing:
To register a plugin that exposes one or more callable functions to the agent, use CreatePluginFromFunctions . This builds a plugin from Kernel functions (prompt- or code-based) and makes them available for tool/function calling by the model.
To ensure the model must call functions (and request any required parameters it doesn't have), set the prompt execution settings to FunctionChoiceBehaviour.Required . In Semantic Kernel, this corresponds to the OpenAI tool/function-calling control that forces the assistant to invoke appropriate functions. When required parameters are marked in the function's schema, the assistant will ask follow-up questions to collect them before (or while) invoking the function.
References (Microsoft Azure AI Solution)
Semantic Kernel: Plugins and Functions, ChatCompletionAgent, OpenAIPromptExecutionSettings, and FunctionChoiceBehavior for enforced tool/function calling.
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.
Azure Cognitive Service에서 질문 답변 기능을 사용하는 챗봇이 있는데, 언어 사용자는 챗봇이 허위 질문에 답변할 때 형식적인 답변을 한다고 보고합니다. 챗봇이 허위 질문에 공식적인 답변을 제공하는지 확인해야 합니다.
해결책: Language Studio에서 모든 잡담 질문과 답변 쌍을 제거한 다음 모델을 다시 학습시키고 다시 게시합니다. 이렇게 하면 목표를 달성할 수 있을까요?
- A. 네
- B. 아니요
Correct Answer: B 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
실시간 추론을 위해 Azure Machine Learning 관리형 온라인 엔드포인트에 배포할 워크플로가 있습니다.
추적 데이터와 시스템 메트릭이 수집되어 my-app-insights라는 이름의 Application Insights 리소스로 전송되도록 배포용 YAML 구성 파일을 수정해야 합니다.
파일을 어떻게 수정해야 할까요? 답변하려면 답변란에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
A data analyst
The statement is:
"________ is responsible for creating visuals and charts that help a company make informed decisions." Let's analyze the options:
A data analyst
Main responsibility: interpreting data, creating visuals, dashboards, and reports using tools like Power BI, Excel, or Tableau.
Helps stakeholders make business decisions from data.
Correct answer.
A data engineer
Focuses on designing, building, and maintaining data pipelines, ETL processes, and storage systems.
Not primarily responsible for creating visuals.
A data scientist
Specializes in advanced analytics, machine learning, and statistical modeling.
They may present insights but their focus is on predictions and algorithms, not routine visuals.
A database administrator (DBA)
Responsible for managing databases, ensuring security, availability, backups, and performance.
Not responsible for creating visuals or dashboards.
The answer: A data analyst
Microsoft Reference
Roles in data analytics
Microsoft Learn: Data Analyst role description - responsible for creating reports and visualizations to support decision-making.
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