Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) : AI-102 Korean
- Exam Code: AI-102 Korean
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
- Updated: Oct 23, 2026
- Q & A: 425 Questions and Answers
About Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) : AI-102 Korean Exam
Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) pdf study material
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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.
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Microsoft AI-102 Korean Exam Syllabus Topics:
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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.
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
O에서 음성-음성 번역을 수행하는 App1이라는 앱을 개발합니다.
영어를 독일어로 번역하려면 App1을 구성해야 합니다.
speechTransiationConf ig 객체를 어떻게 완성해야 할까요? 정답은 적절한 값을 적절한 대상에 드래그하여 배치하는 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:
You are configuring speech-to-speech translation in an app. The workflow is:
Recognize spoken input language (in this case, English).
Translate the recognized text into the target language (in this case, German).
(Optional) Synthesize speech in the target language.
Step 1 - SpeechRecognitionLanguage
This property defines the input language for speech recognition.
Since the input is English, it should be set to " en-US " .
Step 2 - AddTargetLanguage
This method specifies the output translation language(s).
Since the requirement is to translate into German, use " de " .
Other options (incorrect here):
speechSynthesisLanguage # used if you want to output translated text as synthesized speech in the target language voice. Not required in this snippet.
voiceName # specifies the actual voice to use for speech synthesis, not translation.
Correct Completed Code Snippet:
var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH_SUBSCRIPTION_KEY, SPEECH_SERVICE_REGION); translationConfig.SpeechRecognitionLanguage = " en-US " ; translationConfig.AddTargetLanguage( " de " ); Microsoft References Speech Translation with Azure AI Speech SDK SpeechTranslationConfig Class Reference
CS1이라는 Azure AI 콘텐츠 안전 리소스가 포함된 Azure 구독이 있습니다. 사용자 유전자 등급 문서를 분석하고 모호하고 불쾌한 용어를 식별하는 앱을 개발하려고 합니다. 불쾌한 용어를 포함하는 사전을 만들어야 합니다. 이 솔루션은 개발 노력을 최소화해야 합니다. 어떤 솔루션을 사용해야 할까요?
- A. 텍스트 분류기
- B. 언어 감지
- C. 블랙리스트
- D. 텍스트 조정
Correct Answer: C 🗳️
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Microsoft Bot Framework Composer를 사용하여 챗봇을 만들고 있습니다.
다음 그림은 대화 상자의 디자인을 보여줍니다.
다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
The screenshot shows a Bot Framework Composer dialog that collects user input:
user.name is an entity.
False.
user.name is a property in bot state (a variable), not an entity.
Entities are part of LUIS/NLU models (e.g., PersonName, DateTime).
The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties.
True.
The dialog explicitly has:
A Bot Asks (Text) step # assigns user's response to user.name .
A Bot Asks (Number) step # assigns response to user.age .
So the values are stored in those properties.
The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.
True.
On the right-hand side, the Value expression is:
=coalesce(@userName, @personName)
coalesce returns the first non-null value.
This means if userName entity is available, it is used; otherwise, personName is used.
That result is assigned to user.name .
Correct Answers:
No
Yes
Yes
Microsoft References
Bot Framework Composer - Manage variables and properties
Bot Framework Composer - Recognizers and entities
Coalesce function in Composer expressions
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
a tabular form of rows and columns
Rationale
Relational data is, by definition, data that adheres to the relational model .
In the relational model, data is organized into tables , which consist of rows (records or tuples) and columns (fields or attributes). This is known as the tabular form .
The other options are incorrect:
Unstructured data is the opposite of relational data.
A hierarchical folder structure is used for file organization, not the logical structure of relational data.
Comma-separated value (CSV) files can contain relational data, but the core definition of relational data is the tabular structure , not the file format itself.
Microsoft Bot Framework Composer를 사용하여 사용자가 품목을 구매할 수 있는 챗봇을 빌드합니다.
사용자가 진행 중인 거래를 취소할 수 있도록 해야 합니다. 솔루션은 개발 노력을 최소화해야 합니다.
봇에 무엇을 추가해야 하나요?
- A. 언어 생성기
- B. 대화 트리거
- C. 대화 활동
- D. 사용자 정의 이벤트
Correct Answer: B 🗳️
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