Exam Name: Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure
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DP-100 Korean Desktop Test Engine
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- Total Questions: 528
- Updated on: Oct 26, 2026
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- Total Questions: 528
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Microsoft DP-100 Korean Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Data Science Solution on Azure |
| Exam Number: | DP-100 |
| Passing Score: | 700/1000 |
| Exam Price: | $165 USD |
| Available Languages: | Japanese, Spanish, English, French, Chinese (Simplified), Portuguese, German, Korean |
| Exam Duration: | 100 minutes |
| Exam Format: | Lab, Interactive Tasks, Drag and Drop, Multiple Choice, Case Study |
| Certificate Validity Period: | 1 year |
| Related Certifications: | Microsoft Certified: Azure Data Scientist Associate |
| Real Exam Qty: | 40-60 |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or test center delivery through Pearson VUE. |
| Pre Condition: | Candidates should have experience with Azure services, Python programming, and machine learning frameworks such as Scikit-Learn, PyTorch, or TensorFlow. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-100/ |
Microsoft DP-100 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Explore data and train models | 35-40% | - Optimize model performance
|
| Design and prepare a machine learning solution | 20-25% | - Prepare development environments
|
| Prepare a model for deployment | 20-25% | - Deploy machine learning models
|
| Deploy and retrain models | 10-15% | - Monitor deployed models
|
DP-100 Korean Exam FAQ — Products and Policies
The Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam contains 40-60 to complete within 100 minutes. Timed simulation in the NewPassLeader Desktop Test Engine teaches that rhythm before exam day does.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 528 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
The official Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) outline defines 4 domains. The leading three are Prepare a model for deployment (20-25%), Design and prepare a machine learning solution (20-25%), and Explore data and train models (35-40%). The full list is in the topics section above, and NewPassLeader's 528 practice questions cover each one.
The Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam requires 700/1000 to pass, and registration costs $165 USD. A failed attempt means paying the same fee again — a readiness check with the NewPassLeader engines before booking is the cheaper option.
The DP-100 Korean exam is a Microsoft certification exam validating the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) syllabus shown above. It belongs to these credential paths: Microsoft Certified: Azure Data Scientist Associate. Candidates in 2026 keep up with it using NewPassLeader's 528 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
NewPassLeader issues a full refund if you take the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Candidates should have experience with Azure services, Python programming, and machine learning frameworks such as Scikit-Learn, PyTorch, or TensorFlow. Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
Microsoft recommends these training resources for the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam:
Follow the training with steady self-testing — the 528 practice questions from NewPassLeader help you apply theory and fill any gaps the training leaves.
Online proctored exam or test center delivery through Pearson VUE. Register for the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam through these official channels:
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Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) Sample Questions:
workspace1이라는 이름의 Azure Machine Learning 작업 영역과 DSMV1이라는 이름의 데이터 과학 가상 머신(DSVM)을 관리합니다.
Jupiter 노트북과 Python SDK v2 코드를 사용하여 DSMV1에서 실험을 수행해야 합니다. 메트릭과 아티팩트는 워크스페이스 1에 저장해야 합니다. 먼저 필요한 모든 패키지를 가져오는 Python SDK v2 코드를 작성합니다.
워크스페이스1에 메트릭과 아티클을 저장하려면 Python SOK v2 코드를 구현해야 합니다.
어떤 세 가지 행동을 순서대로 수행해야 할까요? 정답을 고르려면, 행동 목록에서 적절한 행동을 골라 답란으로 옮기고 올바른 순서대로 배열하세요.
Correct Answer:
Explanation:
Azure Machine Learning Studio를 사용하여 mltabte 데이터 자산을 프로파일링하고 있습니다. 홀수 값이나 결측값이 있는 열을 감지해야 합니다. 어떤 통계를 분석해야 할까요?
- A. 표준편차
- B. 유형
- C. 오류 횟수
- D. 프로필
Correct Answer: C 🗳️
Azure Machine Learning 작업 영역을 관리합니다.
학습 작업을 위해 Python SDK v2를 사용하여 컴퓨팅 클러스터를 생성하고 구성해야 합니다.
최소한의 속성만 지정하여 영구적인 Azure Machine Learning 컴퓨팅 리소스를 생성해야 합니다.
어떤 두 가지 속성을 정의해야 할까요? 각 정답은 해결책의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 이름
- B. 유형
- C. 크기
- D. 최대 인스턴스 수
- E. 최소 인스턴스
Correct Answer: D,E 🗳️
이미지 분류를 위한 딥러닝 합성곱 신경망 모델을 구축하려고 합니다. CUDA 장치를 사용하여 모델을 학습시키는 스크립트를 작성합니다.
Azure Machine Learning 작업 영역에서 이 스크립트를 실행하는 실험을 제출해야 합니다.
다음과 같은 컴퓨팅 리소스를 사용할 수 있습니다.
Microsoft Office가 설치된 Microsoft Surface 장치. 회사 IT 정책으로 인해 추가 소프트웨어 설치가 금지되어 있습니다. 작업 영역에 2개의 CPU와 8GB 메모리를 갖춘 ds-workstation이라는 컴퓨팅 인스턴스, 8개의 CPU 기반 노드를 갖춘 cpu-cluster라는 Azure Machine Learning 컴퓨팅 대상, 그리고 4개의 CPU 및 GPU 기반 노드를 갖춘 gpu-cluster라는 Azure Machine Learning 컴퓨팅 대상이 필요합니다. 실험 제출을 위한 코드 실행과 모델 학습 시간을 최소화하기 위한 스크립트 실행에 사용할 컴퓨팅 리소스를 지정해야 합니다.
데이터 과학자는 어떤 리소스를 활용해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
파이프라인의 단계를 정의하려면 다음 코드를 사용합니다.
azureml.core에서 Workspace, Experiment, Run을 가져옵니다.
AzureML.Pipeline.core에서 Pipeline을 가져옵니다.
azureml.pipeline.steps에서 PythonScriptStep을 가져옵니다.
ws = Workspace.from_config()
...
step1 = PythonScriptStep(name="step1", ...)
step2 = PythonScriptsStep(name="step2", ...)
pipeline_steps = [step1, step2]
단계를 실행하려면 코드를 추가해야 합니다.
이 목표를 달성하기 위해 사용할 수 있는 두 가지 코드 세그먼트는 무엇입니까? 각 정답은 완전한 솔루션을 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 실행 = 실행(파이프라인 단계)
- B. 파이프라인 = 파이프라인(워크스페이스=ws, 단계=pipeline_steps)실험 = 실험(워크스페이스=ws, 이름='pipeline-experiment')실행 = 실험 제출(파이프라인)
- C. 실험 = 실험(워크스페이스=ws, 이름='파이프라인 실험') 실행 = 실험 제출(구성=파이프라인 단계)
- D. 파이프라인 = 파이프라인(워크스페이스=ws, 단계=파이프라인_단계) 실행 = 파이프라인.제출(실험_이름='파이프라인-실험')
Correct Answer: B,D 🗳️
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