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How to study the AI-102: Designing and Implementing an Azure AI Solution Exam
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam
Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 2: Implement computer vision solutions | 10-15% | - Build and deploy custom vision models - Analyze images and detect objects/features - Extract text and handwriting from images - Process and index video content - Integrate vision capabilities into applications |
| Topic 3: Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Ingest and process structured/unstructured data - Build knowledge bases and search indexes |
| Topic 4: Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration |
| Topic 5: Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Integrate Azure OpenAI and other generative models - Deploy and manage generative models - Orchestrate multiple models and containers - Implement model monitoring and feedback |
| Topic 6: Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services - Plan solutions aligned with responsible AI principles - Monitor, optimize, and secure AI solutions - Select suitable AI models |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
챗봇 요구 사항을 충족하기 위해 QnA Maker 리소스를 구축합니다.
각 그룹에 어떤 RBAC 역할을 할당해야 할까요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
1. Add new members to roles.
2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
1. Create KB API
2. Update KB API
3. Replace KB API
4. Replace Alterations
5. " Train API " [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
1. Download KB API
2. List KBs for user API
3. Get Knowledge base details
4. Download Alterations
Generate Answer
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-based-access-control
AH라는 Azure OpenA1 리소스가 포함된 Azure 구독이 있습니다.
AM을 사용하여 보도자료를 작성하는 App1이라는 앱을 만들 계획입니다.
Appl에 Azure OpenA1 모델을 배포해야 합니다. 솔루션은 개발 노력을 최소화해야 합니다.
Azure OpenAI Studio에서 어떤 세 가지 작업을 순서대로 수행해야 할까요? 답변하려면 작업 목록에서 해당 작업을 답변 영역으로 옮기고 올바른 순서대로 정렬하세요.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
The requirement:
You have an Azure OpenAI resource.
You want to build an app (App1) that writes press releases.
The solution must minimize development effort.
Step 1 - Select the model deployment
Since press release generation requires natural language generation, the best choice is GPT-3.5 Turbo.
The text-embedding-ada-002 model is used for semantic search and embeddings, not text generation, so it's not appropriate here.
Step 2 - Apply a system message template
Azure OpenAI Studio provides pre-built system message templates to speed up development.
For writing press releases, the correct template is the Marketing Writing Assistant template.
This minimizes development effort since it already configures prompt engineering for marketing copywriting.
Step 3 - Deploy the solution
Once the deployment and template are configured, you deploy the solution to a new web app so it can be used as App1.
Correct Sequence:
Create a deployment that uses the GPT-3.5 Turbo model.
Apply the Marketing Writing Assistant system message template.
Deploy the solution to a new web app.
Microsoft References
Azure OpenAI Studio - Getting Started
Azure OpenAI GPT-3.5 models
Azure OpenAI Studio system message templates
Aldoc1이라는 이름의 Azure Al Document Intelligence 리소스가 포함된 Azure 구독이 있습니다.
Aldoc1을 사용하는 App1이라는 앱이 있습니다. App1은 명함 모델 v2.1을 호출하여 명함을 분석합니다.
앱이 QR 코드를 인식할 수 있도록 App1을 업데이트해야 합니다. 솔루션은 관리 부담을 최소화해야 합니다.
가장 먼저 무엇을 해야 하나요?
- A. 읽기 모델을 구현합니다.
- B. 사용자 정의 모델을 배포합니다.
- C. 계약 모델 구현
- D. 명함 모델을 v3.0으로 업그레이드합니다.
Correct Answer: D 🗳️
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회사 내부 회의 영상을 표시하기 위해 Video Indexer 서비스를 사용하는 웹페이지를 개발하고 있습니다.
플레이어 위젯과 인지 통찰력 위젯을 페이지에 삽입합니다.
다음 요구 사항을 충족하도록 위젯을 구성해야 합니다.
사용자가 키워드를 검색할 수 있는지 확인하세요.
영상 속 사람들의 이름과 얼굴을 표시합니다.
영상에 영어(미국) 자막을 표시합니다.
각 위젯의 URL은 어떻게 작성해야 할까요? 정답은 적절한 값을 올바른 위치로 드래그하는 것입니다. 각 값은 한 번, 여러 번 또는 전혀 사용되지 않을 수 있습니다. 콘텐츠를 보려면 창 사이의 분할 막대를 드래그하거나 스크롤해야 할 수도 있습니다.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Cognitive Insights Widget URL
https: / /www.videoindexer.ai/embed/insights/ {accountId}/{videoId}/ ?w idgets=people,keywords & controls=search Player Widget URL
https: / /www.videoindexer.ai/embed/player/ {accountId}/{videoId}/ ?s howcaptions= true & captions=en- US Comprehensive Detailed Explanation The requirements are:
Ensure that users can search for keywords.
In the Cognitive Insights Widget, the controls parameter can be set to search to allow keyword search.
Display the names and faces of people in the video.
The widgets parameter in the Cognitive Insights Widget determines which insights are shown.
To show people and keywords, use people,keywords .
Show captions in the video in English (United States).
For the Player Widget, captions are controlled by two parameters:
showcaptions=true enables captions.
captions=en-US specifies the language.
Final Placement of Values
Cognitive Insights Widget
widgets=people,keywords
controls=search
Player Widget
showcaptions=true
captions=en-US
Microsoft References
Embed Video Indexer widgets
Video Indexer parameters and customization
Microsoft Bot Framework SDK를 사용하여 항공편 예약 봇을 만들고 있습니다.
봇은 사용자에게 출발일을 묻습니다. 봇은 유효한 날짜가 제공될 때까지 질문을 반복해야 하며, 그렇지 않을 경우 사용자가 거래를 취소합니다.
어떤 유형의 대화를 사용해야 합니까?
- A. 적응형
- B. 프롬프트
- C. 액션
- D. 폭포
Correct Answer: B 🗳️
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