Microsoft Azure DP-100 Korean

Certification exams change, and Getcertkey keeps pace: the DP-100 Korean practice question set is reviewed continuously and updated free of charge for 365 days. Your Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) preparation stays aligned with the current exam throughout 2026 and beyond.

Microsoft DP-100 Korean Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Designing and Implementing a Data Science Solution on Azure
Exam Number:	DP-100
Available Languages:	Portuguese, Spanish, French, English, Korean, Chinese (Simplified), Japanese, German
Exam Price:	$165 USD
Exam Duration:	100 minutes
Passing Score:	700/1000
Related Certifications:	Microsoft Certified: Azure Data Scientist Associate
Exam Format:	Multiple Choice, Case Study, Interactive Tasks, Lab, Drag and Drop
Real Exam Qty:	40-60
Certificate Validity Period:	1 year
Sample Questions:
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:

DP-100 Korean Exam FAQs for 2026 Candidates

Which certification does the DP-100 Korean exam lead to?

The DP-100 Korean exam is the official Microsoft exam behind the Microsoft Azure certification, validating the skills measured by the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) credential. It sits at the Associate level of the Microsoft certification program. It also connects to Microsoft Certified: Azure Data Scientist Associate, so the knowledge you build here carries over to those tracks as well.

How many questions are on the DP-100 Korean exam, and how much time do I get?

The DP-100 Korean exam contains 40-60 questions to be completed within 100 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.

What score do I need to pass the DP-100 Korean exam, and what does it cost?

The passing score for the DP-100 Korean exam is 700/1000, and the official registration fee is $165 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 528 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.

Are there any prerequisites for the DP-100 Korean exam?

Candidates should have experience with Azure services, Python programming, and machine learning frameworks such as Scikit-Learn, PyTorch, or TensorFlow. Requirements can change when Microsoft revises its certification program, so confirm the current eligibility rules on the official exam page before you register.

Can I try the DP-100 Korean practice questions before I buy?

Yes. Getcertkey provides a free DP-100 Korean PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Microsoft revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.

What if I fail the DP-100 Korean exam, and how is my order delivered?

Every Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.

Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.

What topics are covered in the DP-100 Korean exam?

The Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam blueprint is organized into 4 domains. The first three are:

• Explore data and train models — 35-40% of the exam
• Design and prepare a machine learning solution — 20-25% of the exam
• Deploy and retrain models — 10-15% of the exam

For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.

Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) Sample Questions:

Question #1
Azure Machine Learning Studio에서 다중 선형 회귀 모델을 생성하고 있습니다.
여러 독립 변수들이 높은 상관관계를 보인다.
모든 데이터에 대해 효과적인 특징 추출을 수행하려면 적절한 방법을 선택해야 합니다.
어떤 세 가지 행동을 순서대로 수행해야 할까요? 정답을 선택하려면, 행동 목록에서 적절한 행동을 골라 답란에 옮겨 올바른 순서대로 배열하세요.

Question #2
Azure Machine Learning 실험으로 Python 스크립트를 실행할 계획입니다.
스크립트에는 다음 코드가 포함되어 있습니다.
os, argparse, glob을 임포트합니다.
azureml.core에서 Run을 가져옵니다.
파서 = argparse.ArgumentParser()
parser.add_argument('--input-data',
type=str, dest='data_folder')
args = parser.parse_args()
데이터 경로 = args.data_folder
file_paths = glob.glob(data_path + "/*.jpg")
스크립트 입력으로 파일 데이터셋을 지정해야 합니다. 데이터셋은 여러 개의 대용량 이미지 파일로 구성되며, 원본 소스에서 직접 스트리밍해야 합니다.
실험을 위한 ScriptRunConfig 객체를 정의하고 ds 데이터셋을 인수로 전달하는 코드를 작성해야 합니다.
어떤 코드 부분을 사용해야 할까요?

A. arguments = ['--input-data', ds.as_download()]
B. arguments = ['--input-data', ds.as_mount()]
C. 인수 = ['--data-data', ds]
D. arguments = ['--input-data', ds.to_pandas_dataframe()]

Question #3
Azure Machine Learning 작업 영역을 관리하고 있습니다. Azure Data Lake Storage Gen2에서 데이터를 가져올 계획입니다. 스토리지 위치를 나타내는 URI를 구성해야 합니다. 어떤 프로토콜을 사용해야 할까요?

A. https
B. abfss
C. 성인
D. wasbs

Question #4
workspace1이라는 이름의 Azure Machine Learning 작업 영역과 compute1이라는 이름의 컴퓨팅 인스턴스를 관리합니다. workspace1의 터미널 창을 사용하여 compute!에 연결합니다. 파일을 생성합니다.
Jupyler를 포함한 Python 종속성이 담긴 "requirements.txt" 파일입니다.
compute1에 새 Jupyter 커널을 추가해야 합니다.
어떤 네 가지 명령어를 사용해야 할까요? 정답을 선택하려면, 동작 목록에서 적절한 동작을 골라 정답 영역으로 옮기고 순서대로 배열하세요.

Question #5
이진 분류 모델을 생성합니다. Fairlearn 패키지를 사용하여 모델의 공정성을 평가합니다. 모델을 재학습할 필요가 없도록 해야 합니다. Fairlearn 패키지를 직접 구현해야 합니다. 어떤 알고리즘을 사용해야 할까요?

A. fairlearn.preprocessing.CorrelationRemover
B. 공정한 Icarn.postprocessing.ThresholdOplimizer
C. fairlearn.reductions.ExponentiatedGradient
D. fatrlearn.reductions.GridSearch

Solutions: