Microsoft AI-102 Korean Q&A - in .pdf

  • AI-102 Korean pdf
  • Exam Code: AI-102 Korean
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
  • Updated: Oct 28, 2026
  • Q & A: 425 Questions and Answers
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  • Exam Code: AI-102 Korean
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
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  • Q & A: 425 Questions and Answers
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Topics of AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates should apprehend the examination topics before they begin of preparation. because it'll extremely facilitate them in touch the core. Our AI-102 exam dumps will include the following topics:

1. Analyze solution requirements (25-30%)

Recommend Cognitive Services APIs to meet business requirements

  • Select the processing architecture for a solution
  • Select the appropriate AI models and services
  • Identify components and technologies required to connect service endpoints
  • Identify automation requirements
  • Select the appropriate data processing technologies

Map security requirements to tools, technologies, and processes

  • Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
  • Identify appropriate tools for a solution
  • Identify which users and groups have access to information and interfaces
  • Identify auditing requirements

Select the software, services, and storage required to support a solution

  • Identify appropriate services and tools for a solution
  • Identify storage required to store logging, bot state data, and Cognitive Services output
  • Identify integration points with other Microsoft services

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

  • Design a strategy for ingest and egress data
  • Design the integration point between multiple workflows and pipelines
  • Design pipelines that use AI apps
  • Select an AI solution that meet cost constraints
  • Define an AI application workflow process
  • Design pipelines that call Azure Machine Learning models

Design solutions that uses Cognitive Services

  • Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs

Design solutions that implement the Bot Framework

  • Design bot services that use Language Understanding (LUIS)
  • Integrate bots and AI solutions
  • Design bots that integrate with channels
  • Integrate bots with Azure app services and Azure Application Insights

Design the compute infrastructure to support a solution

  • Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
  • Identify whether to create a GPU, FPGA, or CPU-based solution
  • Select a compute solution that meets cost constraints

Design for data governance, compliance, integrity, and security

  • Ensure that data adheres to compliance requirements defined by your organization
  • Define how users and applications will authenticate to AI services
  • Design strategies to ensure that the solution meets data privacy regulations and industry standards
  • Design a content moderation strategy for data usage within an AI solution
  • Ensure appropriate governance of data

3. Implement and monitor AI solutions (25-30%)

Implement an AI workflow

  • Develop streaming solutions
  • Manage the flow of data through the solution components
  • Define and construct interfaces for custom AI services
  • Implement data logging processes
  • Create solution endpoints
  • Develop AI pipelines

Integrate AI services with solution components

  • Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs
  • Implement Azure Search in a solution
  • Configure prerequisite components to allow connectivity to the Bot Framework
  • Configure integration with Cognitive Services

Monitor and evaluate the AI environment

  • Identify the differences between KPIs, reported metrics, and root causes of the differences
  • Maintain an AI solution for continuous improvement
  • Monitor AI components for availability
  • Identify the differences between expected and actual workflow throughput
  • Recommend changes to an AI solution based on performance data

For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.

Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

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Microsoft AI-102 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Implement Natural Language Processing Solutions- Implement question answering and conversational AI
- Translate and interpret language using Azure AI services
- Analyze text using Azure AI Language
Topic 2: Implement Knowledge Mining and Document Intelligence- Build Azure AI Search solutions
- Implement document intelligence solutions
- Enrich and index data for search scenarios
Topic 3: Implement Generative AI Solutions- Build retrieval-augmented generation (RAG) solutions
- Integrate prompt engineering techniques
- Implement Azure OpenAI Service solutions
Topic 4: Implement Computer Vision Solutions- Implement custom vision models
- Analyze images and videos using Azure AI Vision
- Extract information using OCR and form recognition
Topic 5: Plan and Manage an Azure AI Solution- Manage security, compliance, and responsible AI
- Plan solution requirements and architecture
- Select appropriate Azure AI services

Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:

Question #1

Microsoft Foundry Agent Service를 사용하여 에이전트를 구축하고 있습니다.
에이전트가 지난 90일 동안 공개된 데이터에 접근할 수 있도록 해야 합니다.
코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #2

Azure OpenAI GPT 3.5 모델을 사용하여 챗봇을 만들어보세요.
챗봇의 응답 품질을 개선해야 합니다. 솔루션은 개발 노력을 최소화해야 합니다.
목표를 달성하는 두 가지 방법은 무엇입니까? 각 정답은 완전한 솔루션을 제시합니다.
참고사항: 정답은 각각 1점입니다.

  • A. 자신의 데이터를 사용하여 언어 모델을 다시 학습시킵니다.
  • B. 모델을 미세 조정합니다.
  • C. 샘플 요청/응답 쌍을 추가합니다.
  • D. 사용자 지정 대규모 언어 모델(LLM)을 훈련합니다.
  • E. 기초적인 콘텐츠를 제공합니다.
Reveal Solution  Discussion  0

Correct Answer: C,E  🗳️

Explanation: Only visible for TroytecDumps members. You can sign-up / login (it's free).

Question #3

문장을 올바르게 완성하는 답을 선택하세요.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
semi-structured data
The statement is:
" Varying fields for each entity in a JSON document is an example of ______. " Relational data # Stored in structured tables with fixed schema (e.g., SQL database). Not applicable here.
Structured data # Has a strict schema (columns and types are predefined). JSON allows variation, so not structured.
Semi-structured data # Data that does not require a fixed schema, but still uses markers (tags, keys) to separate elements. JSON and XML are classic examples. # Unstructured data # Data without schema or labeling (e.g., videos, images, free text). Not JSON.
Since JSON documents can have varying fields per entity (flexible schema), this is considered semi-structured data.
The answer: semi-structured data
Microsoft References
Structured, semi-structured, and unstructured data
JSON in Azure

Question #4

CSAccount1이라는 Azure AI 서비스 리소스와 VNet1이라는 가상 네트워크가 포함된 Azure 구독이 있습니다. CSAaccount1은 VNet1에 연결되어 있습니다. 특정 리소스만 CSAccount1에 액세스할 수 있도록 설정해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* CSAccount1에 대한 외부 접근을 차단합니다.
* 행정적 노력 최소화
어떤 두 가지 행동을 취해야 할까요? 정답은 해결책의 일부를 나타냅니다. 참고: 정답은 1점입니다.

  • A. CSAccount1에서 접근 제어(1AM) 설정을 구성합니다.
  • B. VNet1에서 가상 네트워크 설정을 수정합니다.
  • C. VNet1에서 CSAccount1에 대한 서비스 엔드포인트를 활성화합니다.
  • D. CSAccount1에서 가상 네트워크 설정을 수정합니다.
  • E. VNet1에서 가상 서브넷을 만듭니다.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Explanation: Only visible for TroytecDumps members. You can sign-up / login (it's free).

Question #5

텍스트 처리 솔루션을 개발하고 있습니다.
다음과 같은 기능이 있습니다.

함수를 호출하고 두 번째 인수로 다음 문자열을 사용합니다. 런던 투어에는 버킹엄 궁전 방문이 포함되었습니다. 함수의 출력은 무엇일까요?

  • A. 런던 투어에는 버킹엄 궁전 방문이 포함되었습니다.
  • B. 런던 및 투어만
  • C. 투어 및 방문만 가능
  • D. 런던과 버킹엄 궁전만
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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