Microsoft AI-900 Korean Q&A - in .pdf

  • AI-900 Korean pdf
  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Oct 20, 2026
  • Q & A: 336 Questions and Answers
  • Convenient, easy to study.
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Microsoft AI-900 Korean Q&A - Testing Engine

  • AI-900 Korean Testing Engine
  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Oct 20, 2026
  • Q & A: 336 Questions and Answers
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Preparation Process

Microsoft offers a wide range of resources to help you prepare for your certification exam. The first step in the preparation process is to go through the topics in detail. This will enable you to understand the specific areas that are covered in the test. With this understanding, you can start to get the materials that will provide more knowledge on the objectives. Thus, Microsoft comes with two training options to help the candidates develop the required skills. These are free online training and instructor-led training.

  • Practice Test: As a future examinee, you also have access to the official practice test to evaluate your understanding of the exam topics before taking the actual test. The link to this training tool can be found on the Microsoft website.
  • Free Online Training: The individuals can explore five free training tutorials that are available on the official exam webpage. They have a series of modules that focus on the specific domains of the test. These training tutorials are recommended for those candidates who are comfortable with the self-paced study. The topics of these manuals include the following options:
    • Get Started with AI on Azure;
    • Create No-Code Predictive Models with Azure ML;
    • Explore NLP;
    • Explore Computer Vision on Microsoft Azure;
    • Explore Conversational Artificial Intelligence.

    The students can find the details of these learning paths on the official website.

  • Instructor-Led Training: The Microsoft Azure AI Fundamentals course is designed to help you gain the required skills to pass the exam and obtain the certification. It introduces the learners to the fundamental concepts of AI and the services available in Microsoft Azure that are useful in creating AI solutions. This training is delivered by the certified partners and its details can be found on the Microsoft website. It is important to mention that this course is designed to be combined with other online materials that are available on the Microsoft Learning platform.

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Microsoft AI-900 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
Topic 2
  • Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
Topic 3
  • Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
Topic 4
  • Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Topic 5
  • Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine-learning techniques.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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Microsoft Azure AI Fundamentals (AI-900 Korean Version) Sample Questions:

Question #1

고객이 전화, 소셜 미디어 또는 디지털 도우미를 사용하여 주문 상태를 조회할 수 있는 기능을 제공해야 합니다.
무엇을 사용해야 하나요?

  • A. Azure AI 문서 인텔리전스 모델
  • B. Azure Machine Learning 모델
  • C. Azure Al Translator 서비스
  • D. Azure AI Bot 서비스
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Question #2

다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

This question is derived from the Microsoft Azure AI Fundamentals (AI-900) learning module, particularly under "Describe features of conversational AI workloads on Azure." It tests understanding of chatbot capabilities and design principles within the context of Azure Bot Service and Conversational AI.
* Chatbots can support voice input - YesAccording to the AI-900 official materials, conversational AI systems such as chatbots can interact with users through text or voice. Using speech recognition services like Azure Cognitive Services Speech-to-Text, bots can interpret spoken input, and with Text- to-Speech, they can respond verbally. This enables voice-based chatbots used in virtual assistants, call centers, and customer support. Hence, voice input is fully supported by conversational AI solutions in Azure.
* A separate chatbot is required for each communication channel - NoThe Azure Bot Service is designed to provide multi-channel communication from a single bot instance. A single chatbot can communicate across several channels such as Microsoft Teams, Web Chat, Slack, Facebook Messenger, and email without needing separate bots for each platform. This centralized design allows developers to create, deploy, and manage one bot while configuring multiple channel connections through the Azure portal.
Therefore, the statement is false.
* Chatbots manage conversation flows by using a combination of natural language and constrained option responses - YesIn Microsoft's AI-900 training, chatbots are described as using Natural Language Processing (NLP) to understand free-form user input while also guiding interactions with predefined options such as buttons or quick replies. This hybrid approach ensures both flexibility and control, improving user experience and accuracy. Bots can interpret natural language via services like Language Understanding (LUIS) and also present structured options to guide conversations efficiently.

Question #3

다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

These answers align with the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore conversational AI in Microsoft Azure."
1. A webchat bot can interact with users visiting a website # Yes
This statement is true. The Azure Bot Service allows developers to create intelligent chatbots that can be integrated into a webchat interface. This enables visitors to interact with the bot directly from a website, asking questions and receiving automated responses. This is a typical use case of conversational AI, where natural language processing (NLP) is used to interpret and respond to user input conversationally.
2. Automatically generating captions for pre-recorded videos is an example of conversational AI # No This statement is false. Automatically generating captions from video content is an example of speech-to-text (speech recognition) technology, not conversational AI. While it uses AI to convert spoken words into text, it lacks the two-way interactive communication characteristic of conversational AI. This task is typically handled by the Azure AI Speech service, which transcribes spoken content.
3. A smart device in the home that responds to questions such as "What will the weather be like today?" is an example of conversational AI # Yes This statement is true. Smart home assistants that engage in dialogue with users are powered by conversational AI. These devices use speech recognition to understand spoken input, natural language understanding (NLU) to determine intent, and speech synthesis (text-to-speech) to respond audibly. This represents the full conversational AI loop, where machines communicate naturally with humans.

Question #4

여러분은 음악 페스티벌을 지원하기 위해 언어 이해(LUIS) 애플리케이션을 작성하고 있습니다.
사용자가 "메인 스테이지에서 어떤 공연이 공연하나요?"와 같이 예정된 공연에 대한 질문을 할 수 있게 하고 싶으신가요? "메인 스테이지에서 어떤 공연이 공연하나요?"라는 질문은 어떤 유형의 요소의 예인가요?

  • A. 의도
  • B. 발언
  • C. 도메인
  • D. 엔티티
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Question #5

책임 있는 AI의 원칙을 적절한 설명과 연결하세요.
답하려면 왼쪽 열에서 해당 원리를 오른쪽 설명으로 끌어오세요. 각 원리는 한 번, 여러 번, 또는 전혀 사용되지 않을 수 있습니다.
참고: 정답을 맞힐 때마다 1점이 주어집니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The correct answers are derived from the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Identify guiding principles for responsible AI." Microsoft defines six core principles of Responsible AI:
* Fairness
* Reliability and safety
* Privacy and security
* Inclusiveness
* Transparency
* Accountability
Each principle addresses a key ethical and operational requirement for developing and deploying trustworthy AI systems.
* Reliability and safety - "AI systems must consistently operate as intended, even under unexpected conditions."This principle ensures that AI models are dependable, robust, and perform accurately under diverse circumstances. Microsoft emphasizes that systems should be thoroughly tested and monitored to guarantee predictable behavior, prevent harm, and maintain safety. A reliable AI solution should continue to function properly when faced with unusual or noisy inputs, and fail safely when issues arise.
This principle focuses on stability, testing, and dependable performance.
* Privacy and security - "AI systems must protect and secure personal and business information."This principle ensures that AI systems comply with data privacy laws and ethical standards. It protects users' sensitive data against unauthorized access and misuse. Microsoft highlights that organizations must implement strong encryption, data anonymization, and access control mechanisms to maintain confidentiality. Protecting user data is essential to building trust and compliance with global standards like GDPR.
Other principles such as fairness and inclusiveness apply to ensuring equitable and accessible AI, but they do not directly relate to system operation or information protection.
# Final Answers:
* "Operate as intended" # Reliability and safety
* "Protect and secure information" # Privacy and security

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