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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Check Updated on: Aug 16, 2026
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Target Audience & Requirements
The candidates for this Microsoft exam are Azure Data Scientists. These professionals have expertise in applying their knowledge of machine learning and data science to run and implement ML workloads on Azure. This is particularly in the usage of Azure ML Service. These applicants are the experts in planning and creating the appropriate working environments for data science workloads within Azure. They also train predictive models and run data experiments. The individuals who want to earn ACE college credit can also take this certification test.
The Microsoft DP-100: Designing & Implementing a Data Science Solution on Azure test has no official requirement. However, the candidates must develop an in-depth understanding of the exam topics. They should also have expertise in model optimization and management and ML models deployment within the production.
Certification Path
The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.
The Microsoft DP-100 test helps candidates check their machine learning knowledge and skills and prove themselves as qualified data scientists.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Microsoft DP-100 Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Optimize and manage models | - Improve model performance - Track experiments and manage model lifecycle |
| Design and prepare a machine learning solution | - Plan and configure Azure Machine Learning workspace - Manage compute and data assets - Select appropriate Azure services for machine learning workloads |
| Explore and analyze data | - Perform exploratory data analysis - Ingest and prepare data for modeling |
| Deploy and consume models | - Monitor deployed models and endpoints - Deploy models to endpoints |
| Train machine learning models | - Train models using Azure Machine Learning - Tune hyperparameters and evaluate models |
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