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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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How to book the AI-102: Designing and Implementing an Azure AI Solution Exam
These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.
- Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
- Step 2: Sign up/Login to Pearson VUE account
- Step 3: Select local centre based on your country, date, time and confirm with a payment method.
Topics Covered
Exam AI-102 contains five topics each of which is intended to check specific skills.
1. Plan and Manage an Azure Cognitive Services Solution
This topic implies your ability to choose the suitable Cognitive Services resource, create it, plan and design security for a Cognitive Services solution, and apply Cognitive Services containers. This means that you should be competent in selecting the appropriate cognitive service for solutions that refer to language analysis, speech, decision support, and vision. You also should possess skills to operate costs of Cognitive Services, create a Cognitive Services resource, and monitor a cognitive service. This part also checks how well you can operate Cognitive Services account keys, and protect Cognitive Services. Your knowledge of using Face API, Computer Vision, Speech, Text Analysis, and ability to integrate Cognitive Services Containers in Microsoft Azure will also be assessed.
2. Implement Computer Vision Solutions
The second topic is designed to check your skills in using the Computer Vision API to get image descriptions, define landmarks, find brands, edit content in images, and create thumbnails. In this part, you are expected to be able to detect faces and recognize them in images, analyze facial features, and match similar faces with the help of the Face API. Being competent in utilizing the Custom Vision service, you should demonstrate your skills in applying image classification and implementing an object detection solution. Besides, your ability to analyze video by implementing Azure Video Analyzer for Media will be measured.
3. Implement Natural Language Processing Solutions
In the third topic, candidates are required to show their skills in analyzing text by utilizing the Text Analytics service, control speech by implementing the Speech service, translate the text with the help of the Translator service. This domain also checks your proficiency in creating and optimizing an initial language model by utilizing LUIS, and finally, managing it.
4. Implement Knowledge Mining Solutions
In this domain, you will be required to have expertise related to applying a Cognitive Search solution, which implies creating data sources, identifying an index, running an indexer, and using synonyms. This topic also aims to evaluate your ability to apply an enrichment pipeline, use a knowledge store, operate a Cognitive Search solution and indexing.
5. Implement Conversational AI Solutions
This domain will evaluate your capacity in utilizing QnA Maker to make a knowledge base, creating and implementing conversation flow, creating a bot by utilizing either the Bot Framework Composer or the Bot Framework SDK. Finally, you will need to demonstrate your skills in integrating Cognitive Services into a bot.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary
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- India - 20,00,327 INR
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service |
| Implement computer vision solutions | 10-15% | - Process and index video content - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images - Analyze images and detect objects/features |
| Implement knowledge mining and information extraction solutions | 15-20% | - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Build knowledge bases and search indexes |
| Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Deploy and manage generative models - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning |
| Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization |
| Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Select suitable AI models - Monitor, optimize, and secure AI solutions |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
컴퓨터 비전 클라이언트 라이브러리를 사용하는 메서드를 개발하고 있습니다. 이 메서드는 이미지에서 광학 문자 인식(OCR)을 수행합니다. 메서드의 코드는 다음과 같습니다.
테스트하는 동안 GetReadResultAsync 메서드에 대한 호출이 읽기 작업이 완료되기 전에 발생한다는 것을 발견했습니다.
읽기 작업이 완료될 때까지 GetReadResultAsync 메서드가 진행되지 않도록 해야 합니다.
어떤 두 가지 행동을 취해야 할까요? 정답은 해결책의 일부를 나타냅니다. (두 가지를 선택하세요.) 참고: 정답 하나당 1점입니다.
- A. txtHeaders.Status 값의 상태를 확인하는 코드를 추가합니다.
- B. 지연을 포함하는 루프 내에서 GetReadResultAsync에 대한 호출을 래핑합니다.
- C. Guid.Parse(operationId) 매개변수를 제거합니다.
- D. 결과와 상태 값을 확인하기 위한 코드를 추가합니다.
Correct Answer: B,D 🗳️
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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.
언어 이해 서비스를 사용하여 언어 모델을 구축합니다. 이 언어 모델은 FindContact라는 인텐트를 사용하여 연락처 목록에서 정보를 검색하는 데 사용됩니다.
대화 전문가는 훈련에 사용할 수 있는 다음과 같은 문구 목록을 제공합니다.
런던에서 연락처를 찾아보세요.
시애틀에 아는 사람이 있나요? 우크라이나에 있는 연락처를 검색해 보세요.
Language Understanding에서 구문 목록을 구현해야 합니다.
해결 방법: 도메인에 대한 새 엔터티를 만듭니다.
이것이 목표를 달성하는가?
- A. 아니요
- B. 네
Correct Answer: A 🗳️
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고객이 Azure Cognitive Search를 사용하고 있습니다.
고객은 서버 측 암호화를 활성화하고 Azure에 저장된 고객 관리 키(CMK)를 사용할 계획입니다.
계획된 변경의 세 가지 의미는 무엇입니까? 각 정답은 완전한 해결책을 제시합니다.
참고: 정답 하나당 1점입니다.
- A. 쿼리 시간이 증가합니다.
- B. 쿼리 시간이 감소합니다.
- C. 인덱스 크기가 증가합니다.
- D. 인덱스 크기가 감소합니다.
- E. Azure Key Vault가 필요합니다.
- F. 자체 서명된 X.509 인증서가 필요합니다.
Correct Answer: A,C,E 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
챗봇이 있죠.
Bot Framework Emulator를 사용하여 봇을 테스트해야 합니다. 테스트 솔루션은 봇에 로그인할 때 자격 증명을 입력하라는 메시지를 표시해야 합니다.
어떤 세 가지 설정을 구성해야 할까요? 답변하려면 답변 영역에서 적절한 설정을 선택하세요.
참고: 정답을 하나 선택할 때마다 1점이 부여됩니다.
Correct Answer:
Explanation:
When testing a bot with the Bot Framework Emulator, especially if the bot uses authentication (OAuth), you need the Emulator to mimic real-world authentication flows. To do that:
Use version 1.0 authentication tokens
Ensures that authentication tokens are generated in the same format as Bot Framework v1.0, which is compatible with most OAuth flows.
Use a sign-in verification code for OAuthCard
Prompts the user with a verification code during sign-in flows, ensuring the emulator behaves like a real client app (e.g., mobile or Teams).
This is required to test sign-in prompts and enforce credential entry.
Use your own user ID to communicate with the bot
Ensures that the Emulator identifies you uniquely and triggers authentication properly.
Without this, the bot may treat sessions generically, and authentication prompts might not behave as expected.
Why not the others?
Application Updates (automatically download/install) # Related to emulator updates, not authentication.
Data Collection # Only for telemetry; does not affect authentication.
Ngrok settings # Used for tunneling remote bot connections; unrelated to credential prompts.
Correct Answer Selections:
Use version 1.0 authentication tokens
Use a sign-in verification code for OAuthCard
Use your own user ID to communicate with the bot
Microsoft References
Bot Framework Emulator - Authentication
Testing bots with Bot Framework Emulator
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?
- A. File1.avi를 Azure AI Video Indexer 웹사이트에 업로드합니다.
- B. File1.avi를 Azure Storage 큐에 업로드합니다.
- C. File1.avi를 www.youtube.com 웹페이지에 업로드합니다.
- D. File1.avi를 Microsoft OneDrive에 업로드합니다.
Correct Answer: D 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
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