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Not sure whether Fast2test is the right choice for your AI-901 Korean preparation? Download the free demo and work through sample questions from the Microsoft Azure AI Fundamentals (AI-901 Korean Version) practice test before you spend anything. The full set contains 127 questions and answers.

Microsoft AI-901 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals (AI-900) Exam
Exam Number:AI-900
Available Languages:German, Chinese (Simplified), Chinese (Traditional), Korean, Japanese, Spanish, English, French, Portuguese (Brazil)
Related Certifications:Microsoft Azure Data Fundamentals (DP-900)
Microsoft Azure Fundamentals (AZ-900)
Exam Price:Approx. 99 USD (varies by region)
Real Exam Qty:40-60
Exam Duration:60 minutes
Certificate Validity Period:Does not expire (Fundamentals certification)
Passing Score:700 (out of 1000)
Exam Format:Drag and drop, Case study (limited), Multiple response, Multiple choice
Recommended Training:Microsoft Learn - AI-900 Learning Path
Azure AI Fundamentals Course
Exam Registration:Schedule exam via Pearson VUE
Microsoft Certification Portal
Sample Questions:Microsoft AI-901 Korean Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

Microsoft AI-901 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe features of natural language processing (NLP) workloads on Azure15-20%- Azure NLP services
  • 1. Azure AI Language
    • 2. Speech services (speech-to-text, text-to-speech)
      - Text analysis
      • 1. Language detection
        • 2. Key phrase extraction
          • 3. Sentiment analysis
            Topic 2: Describe features of computer vision workloads on Azure15-20%- Image analysis
            • 1. Optical character recognition (OCR)
              • 2. Object detection
                • 3. Image classification
                  - Azure AI Vision services
                  • 1. Face detection and analysis (limited use cases)
                    • 2. Azure AI Vision
                      Topic 3: Describe Artificial Intelligence workloads and considerations20-25%- Responsible AI principles
                      • 1. Inclusiveness
                        • 2. Transparency and accountability
                          • 3. Reliability and safety
                            • 4. Fairness
                              • 5. Privacy and security
                                - Identify features of common AI workloads
                                • 1. Conversational AI and chatbots
                                  • 2. Computer vision use cases
                                    • 3. Natural language processing use cases
                                      • 4. Document processing and extraction
                                        Topic 4: Describe fundamental principles of machine learning on Azure25-30%- Azure Machine Learning basics
                                        • 1. AutoML concepts
                                          • 2. Azure ML workspace components
                                            - Machine learning concepts
                                            • 1. Regression and classification
                                              • 2. Training and evaluation concepts
                                                • 3. Supervised vs unsupervised learning
                                                  Topic 5: Describe features of generative AI workloads on Azure10-15%- Generative AI concepts
                                                  • 1. Large language models (LLMs)
                                                    • 2. Responsible use of generative AI
                                                      • 3. Prompt engineering basics
                                                        - Azure OpenAI and generative services
                                                        • 1. Use cases: chatbots, content generation, summarization
                                                          • 2. Azure OpenAI Service capabilities

                                                            Your Microsoft Azure AI Fundamentals (AI-901 Korean Version) Questions, Answered

                                                            The AI-901 Korean exam, officially titled Microsoft Azure AI Fundamentals (AI-901 Korean Version), is the qualifying test for the Microsoft Azure AI Fundamentals certification from Microsoft, a credential at the Fundamentals level. Passing it proves you have the skills employers look for in certified professionals, and it can also support progress toward related credentials such as Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900).

                                                            The Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam gives you 60 minutes to work through 40-60 questions. That is a steady pace with little room for second-guessing, so train yourself to read each question once, flag the difficult ones, and keep moving. Before exam day, sit at least two full timed sessions in the Fast2test test engine — when the clock feels familiar, it stops being a threat.

                                                            You need 700 (out of 1000) to pass, and the official registration fee is Approx. 99 USD (varies by region). Fall short and you pay that fee in full again for every retake, which makes solid preparation the cheaper option by far. Work through the Fast2test practice questions until you score comfortably above the passing mark, then book your seat.

                                                            No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: Microsoft AI-901 Korean exam overview.

                                                            You can book your AI-901 Korean exam through any of these official registration channels:

                                                            The exam is delivered as Online proctored exam or in-person test center, so you can pick the option that fits your schedule when you book.

                                                            Microsoft recommends the following training for Microsoft Azure AI Fundamentals (AI-901 Korean Version) candidates:

                                                            Pair that training with the 127 practice questions from Fast2test and you can check your readiness topic by topic before exam day.

                                                            Yes. Fast2test offers a free PDF demo for the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam so you can judge the quality of our questions and answers before paying anything. Every purchase also comes with 365 days of free updates, and once that period expires you can extend your update service at a 50% discount.

                                                            Your purchase is protected by a 100% money-back guarantee. If you sit the corresponding AI-901 Korean exam within 60 days of buying and do not pass, send us a scan of your exam enrollment slip together with your official Score Report (PDF) within 2 days of the exam date — the candidate name must match the payer's name — and we will process your full refund within 7 days. Please note that exams taken within 3 days of purchase, materials downloaded without ever sitting the exam, free products, and expired orders are not covered. If you would rather not have a refund, you can exchange your order for two exam products of equal value, free of charge, and keep the update service on your original purchase.

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                                                            The Microsoft Azure AI Fundamentals (AI-901 Korean Version) syllabus is organized into 5 domains. The main areas include Describe fundamental principles of machine learning on Azure (25-30%), Describe features of natural language processing (NLP) workloads on Azure (15-20%), and Describe features of generative AI workloads on Azure (10-15%). Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.

                                                            Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:

                                                            다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
                                                            참고: 정답 하나당 1점입니다.

                                                            Answer:


                                                            당신은 Foundry Tools의 Azure Content Understanding을 사용하여 송장을 분석하는 애플리케이션을 개발하고 있습니다.
                                                            애플리케이션이 처리가 완료된 후 분석 결과를 가져오도록 해야 합니다.
                                                            파이썬 코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
                                                            참고: 정답 하나당 1점입니다.

                                                            Answer:


                                                            Explanation:

                                                            The completed code is:
                                                            poller = client.begin_analyze(
                                                            analyzer_id= " invoice " ,
                                                            input_url=url
                                                            )
                                                            result = poller.result()
                                                            Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result() .
                                                            Therefore, to retrieve the analysis results after processing completes, the correct option is:
                                                            result
                                                            The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.

                                                            Microsoft Foundry 프로젝트에 비전 기반 GPT 모델 배포가 포함되어 있습니다. 단일 요청으로 이미지와 텍스트 질문을 모델에 전송하는 애플리케이션을 개발해야 합니다.
                                                            무엇을 사용해야 할까요?

                                                            • A. Azure OpenAI 응답 API
                                                            • B. Alure OpenAI 이미지 API 엔드포인트만 해당
                                                            • C. 음성-텍스트 변환 REST API
                                                            • D. 이미지 분석 REST API
                                                            Answer: A

                                                            Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

                                                            귀사는 고객 지원 이메일을 처리합니다.
                                                            이메일에서 사람, 조직, 위치에 대한 언급을 자동으로 식별하는 AI 솔루션을 구현해야 합니다.
                                                            어떤 텍스트 분석 기법을 사용해야 할까요?

                                                            • A. 요약
                                                            • B. 감정 분석
                                                            • C. 개체명 인식(NER)
                                                            • D. 핵심 문구 추출
                                                            Answer: C

                                                            Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

                                                            다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
                                                            참고: 정답 하나당 1점입니다.

                                                            Answer:


                                                            Explanation:

                                                            Statement 1: An Azure Content Understanding in Foundry Tools analyzer returns results in the HTML format. = No Azure Content Understanding returns analysis results as structured output, typically JSON , not HTML.
                                                            Microsoft documentation states that the Content Understanding API returns analysis results in a structured JSON format.
                                                            Statement 2: The Content Understanding REST API analyzes content synchronously and returns results in the same response. = No Content Understanding analysis is asynchronous. The quickstart states that the response header includes an Operation-Location field, which is used to retrieve the results of the asynchronous analysis operation.
                                                            Statement 3: Azure Content Understanding in Foundry Tools can transform documents, images, audio, and video files into structured output. = Yes Microsoft describes Azure AI Content Understanding as processing documents, images, videos, and audio, and transforming them into user-defined output formats.

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