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The DP-100 certification exam is intended for data scientists, data architects, and data engineers who want to validate their expertise in designing and implementing data science solutions on Azure. It is also suitable for professionals who are responsible for implementing Azure-based machine learning and AI solutions, including data analysts, developers, and IT administrators.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
The DP-100 certification exam is designed to help professionals enhance their skills in data science and Azure data science solutions. DP-100J exam covers topics such as data exploration, data preparation, modeling, and deployment. DP-100J exam is also designed to test the candidate’s ability to design and implement data science solutions using Azure Machine Learning, Azure Cognitive Services, and other Azure services.
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Certification Path
The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.
Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| 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 |
| Optimize and manage models | - Improve model performance - Track experiments and manage model lifecycle |
| 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 |








