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Microsoft DP-100 exam is an important certification for data scientists working with Azure. It covers a range of topics related to data science and requires candidates to demonstrate their ability to design and implement end-to-end machine learning solutions on Azure. With the right preparation and training, candidates can pass the DP-100 exam and earn a valuable certification that can help them advance their careers.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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The DP-100 exam is a valuable certification for data scientists who work with Azure, as it demonstrates their proficiency in designing and implementing data science solutions on this platform. Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) certification can help data scientists advance their careers and increase their earning potential.
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Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare a model for deployment | 20-25% | - Deploy machine learning models
|
| Design and prepare a machine learning solution | 20-25% | - Prepare development environments
|
| Deploy and retrain models | 10-15% | - Implement retraining pipelines
|
| Explore data and train models | 35-40% | - Prepare data for modeling
|
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