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Instant Download Microsoft : AI-900 Korean Questions & Answers as PDF & Test Engine
- Exam Code: AI-900
- Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
- Updated: Nov 09, 2026
- No. of Questions: 336 Questions and Answers
- Download Limit: Unlimited
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Certification Path
The Azure AI Fundamentals certification might not be a prerequisite for any other certification levels, however, it can still be used to prepare for multiple Azure-related qualifications including the Microsoft Certified: Azure Data Scientist Associate and the Microsoft Certified: Azure AI Engineer Associate.
In case you're eager to get to know more about artificial intelligence facets & machine learning functions that relate to Microsoft Azure, then you're recommended to opt for AI-900 test.
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Objective of Microsoft AI-900 Exam
It's important to note that the Microsoft AI-900 exam isn't an exam on Azure; the objective of the exam is to make sure you know how to build and manage intelligent cloud solutions and services on Azure. Foundation to Azure, or you can still get the certificate. Defined best practices for solution design, deployment, and administration. Identity of Azure services. Conclude testing by connecting the solution to the infrastructure to test for functionality. Instructor for the exam has extensive experience with Azure. Textidentify Azure services. Define identity of Azure services. Rewarding in the form of free exam vouchers and in-demand credential. Microsoft AI-900 exam dumps prepare you to become qualified Azure solutions specialist. Focus on the skills that are of high value in your organization. Bots are an important part of this exam.
Pay special attention to Cloud design principles. Terms used to describe the Azure platform. Standing out in the crowd and getting the job you want. Regular updates by Microsoft experts. Space for comments with every question. Sources for determining Azure pricing. Document your approach to meeting your goals. Positive impact of the exam on your career path.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
Career Prospects
Although the Microsoft AI-900 exam is associated with the foundational-level certification, all the successful candidates can pursue various lucrative career paths in the field of IT. Some of the job roles that these professionals can work in include a Data Scientist, a Software Developer, and an Azure AI Engineer, among others. They can also proceed to get some other role-based certificates to boost their potential in the world of Information Technology. With the Microsoft Certified: Azure AI Fundamentals certification, you can earn an average of $48,000 per annum as an entry-level specialist. Those with some work experience can get an average of $74,000 per year.
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Microsoft AI-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify Azure AI services for NLP - Identify common NLP tasks - Describe Azure capabilities for NLP |
| Topic 2: Describe features of Generative AI workloads on Azure | 15-20% | - Identify responsible AI considerations for generative AI - Describe generative AI concepts - Describe Azure OpenAI Service capabilities |
| Topic 3: Describe features of computer vision workloads on Azure | 15-20% | - Identify Azure AI services for computer vision - Describe Azure capabilities for computer vision - Identify common computer vision tasks |
| Topic 4: Describe fundamental principles of machine learning on Azure | 30-35% | - Identify common machine learning tasks - Describe features of no-code automated ML - Describe Azure Machine Learning capabilities - Describe core machine learning concepts |
| Topic 5: Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
Microsoft Azure AI Fundamentals (AI-900 Korean Version) Sample Questions:
대화형 AI 워크로드의 두 가지 예는 무엇인가요? 각 정답은 완전한 해결책을 제시합니다.
참고: 정답 하나당 1점입니다.
- A. 사전 녹음 메시지가 있는 전화 응답 서비스
- B. 공개 웹사이트를 크롤링하여 자주 묻는 질문(FAQ) 문서를 생성하는 서비스입니다.
- C. 인력 부담을 줄이기 위한 전화 음성 메뉴 제공
- D. 사용자가 웹사이트에서 스스로 답변을 찾을 수 있는 기능을 제공하는 챗봇
Correct Answer: C,D 🗳️
Explanation: Only visible for BraindumpsPass members. You can sign-up / login (it's free).
여러분은 소매점의 이미지를 처리하고 경쟁사의 제품을 식별하는 도구를 만들고 있습니다.
솔루션은 회사에서 제공한 이미지를 기반으로 학습되어야 합니다.
어떤 Azure AI 서비스를 사용해야 하나요?
- A. Azure Al Custom Vision
- B. Azure AI 컴퓨터 비전
- C. 얼굴
- D. Azure AI 문서 인텔리전스
Correct Answer: A 🗳️
Explanation: Only visible for BraindumpsPass members. You can sign-up / login (it's free).
다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
The correct answers are based on the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore fundamental principles of machine learning." In supervised machine learning, data is typically divided into three main subsets:
* Training set - used to train the model, i.e., to teach the algorithm the patterns and relationships between input features and output labels.
* Validation set - used to evaluate the model during training to tune hyperparameters and prevent overfitting.
* Test set - used after training to assess the final model's performance on unseen data.
Let's analyze each statement in light of these definitions:
* "A validation set includes the set of input examples that will be used to train a model." # NoThis is incorrect because the training set, not the validation set, contains the input examples used for model training. The validation set is separate from the training data to ensure unbiased evaluation.
* "A validation set can be used to determine how well a model predicts labels." # YesThis is correct. The validation set helps assess how effectively the model generalizes during training. It measures performance and helps tune model parameters for optimal results.
* "A validation set can be used to verify that all the training data was used to train the model." # NoThis is false. The validation set is not used to verify the completeness of training data usage. It exists independently to evaluate the model's performance during training cycles.
According to Microsoft Learn, using a validation set helps ensure that a model generalizes well and avoids overfitting to the training data. It plays a crucial role in refining and optimizing models before final testing.
어떤 두 가지 상황에서 Form Recognizer 서비스를 사용할 수 있나요? 각 정답은 완전한 해결책을 제시합니다.
참고: 정답 하나당 1점입니다.
- A. 카탈로그에서 제품 이미지를 찾습니다.
- B. 송장에서 송장 번호를 추출합니다.
- C. 프랑스어에서 영어로 양식을 번역합니다.
- D. 영수증을 통해 소매업체를 확인하세요.
Correct Answer: B,D 🗳️
Explanation: Only visible for BraindumpsPass members. You can sign-up / login (it's free).
QnA Maker를 사용하여 지식 베이스를 구축하고 있습니다. 지식 베이스를 채우는 데 사용할 수 있는 파일 형식은 무엇인가요?
- A. ZIP
- B. XML
- C. PDF
- D. PPTX
Correct Answer: C 🗳️
Explanation: Only visible for BraindumpsPass members. You can sign-up / login (it's free).
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