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Last Updated: Oct 10, 2026
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Employers trust Microsoft certifications precisely because the exams are hard to fake. PracticeMaterial's Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) practice questions prepare you honestly for the AI-102 Korean exam — real skill, real pass, no shortcuts.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Format: | Multiple-choice, Drag-and-drop, Case studies, Active screen questions |
| Passing Score: | 700 (on a scale of 1-1000) |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120 minutes |
| Available Languages: | Japanese, Chinese (Simplified), English, Korean |
| Exam Price: | $165 USD |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language |
| 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 Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision - Implement Azure AI Face service |
In plain terms, the AI-102 Korean exam is Microsoft's way of verifying that you deserve the Azure AI Engineer Associate certification, a credential at the Associate level. It tests the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) objectives through applied, scenario-driven questions — the kind that expose the gap between "read about it" and "can do it." It also sits within a broader certification ecosystem that includes Microsoft Certified: Azure AI Engineer Associate, so the effort compounds across your career. That's why a review system built around realistic questions — practice, error correction, self-improvement — beats textbook re-reading every time.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) exam blueprint spans 6 domains, led by Implement Computer Vision Solutions (15-20%), Implement Natural Language Processing Solutions (20-25%), and Plan and Manage an Azure AI Solution (15-20%). Treat the weightings as your study budget: domains carrying more of the score deserve more of your week. The full topic list is in the exam topics section above — plan against it, not against guesswork.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) exam allows 120 minutes for 40-60 questions. Before test day, turn that into a rhythm: minutes divided by questions equals your per-item budget, and any item burning double its budget gets flagged and revisited at the end. Rehearse the rhythm under a real timer — every PracticeMaterial test engine session runs one — and finishing with review time becomes your norm, not your hope.
Passing the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) exam takes 700 (on a scale of 1-1000), and each attempt costs $165 USD — including every retake, at full price. The financially sound strategy is arriving over-prepared: drill with PracticeMaterial practice questions until your timed scores clear the passing mark across several consecutive sessions, then register. You're not being cautious; you're declining to pay for the same exam twice.
Microsoft lists the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) formats as: Multiple-choice, Drag-and-drop, Case studies, Active screen questions. Formats aren't trivia — they change how you should read. For long scenario stems, locate the actual question sentence first; for multi-answer items, verify every option you select. PracticeMaterial's 425 practice questions cover these formats so thoroughly that on exam day, only the content is new.
You can take the AI-102 Korean exam in English, Japanese, Chinese (Simplified), Korean. Choose the language where your comprehension is fastest under time pressure — in a timed exam, slow reading is a hidden tax on every question. Testing in English? Daily work with PracticeMaterial's English AI-102 Korean practice questions doubles as targeted vocabulary training.
The certification earned via the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) exam stays valid for No expiration; certification remains valid unless Microsoft deprecates it. Mark the expiry date early and research the recertification path before it looms — a planned renewal is an errand, an expired credential is a project. Since Microsoft sets and updates these policies, confirm the current requirements on the official certification page when your window approaches.
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DM이라는 이름의 Azure Al Document Intelligence 리소스가 포함된 Azure 구독이 있습니다.
표 형식의 데이터가 포함된 Test.pdf라는 PDF 문서를 만듭니다.
DM을 사용하여 Test.pdf를 분석해야 합니다.
명령을 어떻게 완료해야 하나요? 답하려면 정답 영역에서 적절한 선택지를 선택하세요. 참고: 정답 하나당 1점입니다.
Correct Answer:

Explanation:
Comprehensive Detailed Explanation
You're analyzing a PDF (Test.pdf) that "contains tabular data." In Azure AI Document Intelligence, the Layout prebuilt model is the right choice when your primary goal is to extract document structure such as tables, lines, words, selection marks, and paragraphs. Microsoft's documentation clearly states that the Layout model "extracts text, tables, selection marks, and document structure," which is exactly what you need for tabular content. Microsoft Learn While the General document (prebuilt-document) model can also return tables, it is intended for broader extraction (including key-value pairs, entities, etc.). For a document whose key requirement is table extraction, Microsoft guidance recommends starting with Layout for structure-first scenarios.
For authentication in the REST call, the correct header to pass your resource key is Ocp-Apim-Subscription- Key . This is explicitly shown in the official REST API reference for the Analyze Document operation under Security (Type: apiKey, In: header). Microsoft Learn Putting it together, the command shape is:
curl -v -i POST " {endpoint}/formrecognizer/documentModels/prebuilt-layout:analyze?api-version=2023-07-
31 " \
-H " Content-Type: application/json " \
-H " Ocp-Apim-Subscription-Key: {yourkey} " \
--data-ascii " {\ " urlSource\ " : \ " test.pdf\ " } "
This uses a single analyze call to the prebuilt-layout model to extract the tables and authenticates with the Ocp-Apim-Subscription-Key header-matching the two selections in the answer area. The model matrix and overview pages also confirm Layout supports tables. Microsoft Learn References (Microsoft Documentation) Document layout analysis (Layout model) - capabilities include extracting tables, text, selection marks, and structure. Microsoft Learn Choose the best Document Intelligence model - guidance on when to use Layout (structure-first; tables).
Microsoft Learn
General document (prebuilt-document) model - broader extraction including key-value pairs and tables.
Microsoft Learn
Model overview / matrix - shows Layout supports Tables. Microsoft Learn Analyze Document (REST API) - Ocp-Apim-Subscription-Key header for authentication. Microsoft Learn
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:

Explanation:
The statement is:
" In an infrastructure as a service (IaaS) instance of Microsoft SQL Server on Azure, you manage the ______ that hosts SQL Server. " Options:
Elastic pool # A PaaS concept in Azure SQL Database (used to share resources across multiple databases).
Not IaaS.
MySQL server # Refers to Azure Database for MySQL (PaaS). Not related to SQL Server on IaaS.
PostgreSQL server # Refers to Azure Database for PostgreSQL (PaaS). Not related to SQL Server on IaaS.
Virtual machine # In IaaS, SQL Server is installed on an Azure VM. You manage the VM (OS, patches, SQL installation, backups, etc.). # Thus, for IaaS, you are responsible for managing the virtual machine that hosts SQL Server.
The answer: virtual machine
Microsoft References
SQL Server on Azure Virtual Machines overview
Compare Azure SQL Database (PaaS) vs SQL Server on VMs (IaaS)
로컬 드라이브에 File1.avi라는 20GB 크기의 비디오 파일이 저장되어 있습니다.
Azure AI Video Indexer 웹사이트를 사용하여 File1.avi를 인덱싱해야 합니다.
가장 먼저 무엇을 해야 하나요?
Correct Answer: D 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
Speech Studio 프로젝트에 음성 샘플을 업로드해야 합니다. 샘플을 어떻게 업로드해야 합니까?
Correct Answer: C 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
로컬 장치에서 테스트를 위해 그리고 온프레미스 데이터 센터에서 Anomaly Detector API의 컨테이너화된 버전을 사용할 계획입니다.
컨테이너화된 배포가 다음 요구 사항을 충족하는지 확인해야 합니다.
컨테이너를 실행하는 장치의 명령줄 기록에 청구 및 API 정보가 저장되는 것을 방지합니다.
Azure 역할 기반 액세스 제어(Azure RBAC)를 사용하여 컨테이너 이미지에 대한 액세스를 제어합니다.
어떤 네 가지 동작을 순서대로 수행해야 할까요? 답하려면 동작 목록에서 해당 동작을 정답 영역으로 옮겨 올바른 순서대로 배열하세요. (네 가지를 선택하세요.) 참고: 정답 순서가 두 개 이상일 수 있습니다. 정답을 선택한 순서에 따라 점수를 받습니다.
Correct Answer:

Explanation:
Comprehensive Detailed Explanation
You are deploying Anomaly Detector API as a container. The key requirements are:
Prevent billing and API keys from being exposed in command-line history.
Control access to container images using Azure RBAC.
Step-by-step reasoning:
Pull the Anomaly Detector container image
Microsoft Cognitive Services (including Anomaly Detector) provides container images via Microsoft Container Registry.
You must first pull the container image locally.
Push the image to an Azure container registry (ACR)
To enforce Azure RBAC, you need to use Azure Container Registry instead of Docker Hub.
Storing in ACR ensures authentication and role-based access control to the image.
Distribute a docker run script
Instead of providing credentials directly on the command line (which risks storing API keys in shell history), best practice is to distribute a docker run script (or use environment variables / mounted files) to run the container.
This prevents exposure of sensitive information.
Run the container on local devices or on-premises datacenters
The container now runs securely, with API key and billing info injected at runtime via environment variables or mounted secrets.
Incorrect Options
Create a custom Dockerfile # Not needed, because Microsoft provides the official Anomaly Detector container image.
Build the image # Not required; again, the container is prebuilt.
Push the image to Docker Hub # Does not allow RBAC, so this would not meet the security requirement.
Correct Sequence:
Pull the Anomaly Detector container image.
Push the image to an Azure container registry.
Distribute a docker run script.
Run the container in the local or on-prem environment.
Microsoft References
Use Cognitive Services containers
Azure Container Registry - Authentication and RBAC
Best practices for running Cognitive Services containers
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