Skills measured
- Run experiments and train models (20–25%)
- Deploy and operationalize machine learning solutions (35–40%)
- Manage Azure resources for machine learning (25–30%)
- Implement responsible machine learning (5–10%)
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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.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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How to Register For Exam DP-100: Designing and Implementing a Data Science Solution on Azure?
The dream of becoming a highly skilled data scientist can turn into a reality with the help of the Microsoft DP-100 exam. This exam tries to impart an associate-level understanding of data science and machine learning with an aim to generate a skilled workforce of data scientists.
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Microsoft DP-100 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploy and retrain models | 10-15% | - Monitor deployed models
|
| Explore data and train models | 35-40% | - Run experiments and train models
|
| Design and prepare a machine learning solution | 20-25% | - Prepare development environments
|
| Prepare a model for deployment | 20-25% | - Manage deployment assets
|
