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

DP-100 Korean

Exam Code: DP-100-KR

Exam Name: Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version)

Updated: Aug 14, 2026

Q & A: 528 Questions and Answers

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Career Opportunities & Salary Outlook

The demand for the certified professionals is on the increase. As an Azure Data Scientist, you can explore many employment opportunities. So, if you want to boost your career potential, pursuing the Microsoft Certified: Azure Data Scientist Associate certification is the right step. To get this certificate, you have to pass the qualifying exam, which is Microsoft DP-100. With this associate-level certification, you can get the positions, such as a Data Scientist, a Senior Data Scientist, a Data Science Manager, and a Data Science Director. The average salary for these job roles is $135,000 per annum. With advanced experience, the specialists can earn up to $170,000 per year.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

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What Next after This Certification?

The certification obtained from passing DP-100 exam is proof of intermediate skills in data science since it is within the associate hierarchy. Apart from applying for and getting a job in a preferred company, you can also expand your skills in an area of interest. With the role-based scheme, there are expert certifications awaiting you to earn. They include the Microsoft Certified: Azure Solutions Architect Expert and the Microsoft Certified: Azure DevOps Engineer Expert.

Ideal Candidate Profile

This exam will provide substantial career growth for data scientist-related job roles. If anyone’s job profile demands natural language processing and predictive analysis, s/he can aim at this exam to access needed expertise.

Microsoft DP-100 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Explore and analyze data- Ingest and prepare data for modeling
- Perform exploratory data analysis
Topic 2: Design and prepare a machine learning solution- Select appropriate Azure services for machine learning workloads
- Plan and configure Azure Machine Learning workspace
- Manage compute and data assets
Topic 3: Train machine learning models- Tune hyperparameters and evaluate models
- Train models using Azure Machine Learning
Topic 4: Optimize and manage models- Improve model performance
- Track experiments and manage model lifecycle
Topic 5: Deploy and consume models- Monitor deployed models and endpoints
- Deploy models to endpoints
DP-100-KR Related Exams
AZ-900 - Microsoft Azure Fundamentals
AZ-203J - Developing Solutions for Microsoft Azure (AZ-203日本語版)
070-535J - Architecting Microsoft Azure Solutions (070-535日本語版)
AZ-103-Deutsch - Microsoft Azure Administrator (AZ-103 Deutsch Version)
DP-300-Deutsch - Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
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