Last Updated: Aug 02, 2026
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The DP-100 exam includes various topics related to data science, such as data exploration, data preparation, data modeling, machine learning, and data visualization. DP-100-KR exam also tests the candidate's knowledge of Azure services that are used for data solutions, such as Azure Machine Learning, Azure Data Factory, Azure Stream Analytics, and Azure Databricks. DP-100-KR exam format includes multiple-choice questions, case studies, and practical exercises.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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Microsoft DP-100 exam is focused on designing and implementing a data science solution on Azure. Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) certification test is aimed at data professionals who are interested in the design and implementation of data solutions using Microsoft Azure. DP-100-KR exam validates the skills of the candidate in various areas related to data science, such as data engineering, data analysis, machine learning, and data visualization.
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| Section | Objectives |
|---|---|
| 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 | - Manage compute and data assets - Select appropriate Azure services for machine learning workloads - Plan and configure Azure Machine Learning workspace |
| Topic 3: Deploy and consume models | - Monitor deployed models and endpoints - Deploy models to endpoints |
| Topic 4: Optimize and manage models | - Track experiments and manage model lifecycle - Improve model performance |
| Topic 5: Train machine learning models | - Tune hyperparameters and evaluate models - Train models using Azure Machine Learning |
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