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Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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| Section | Objectives |
|---|---|
| Deploy and consume models | - Deploy models to endpoints - Monitor deployed models and endpoints |
| Design and prepare a machine learning solution | - Select appropriate Azure services for machine learning workloads - Plan and configure Azure Machine Learning workspace - Manage compute and data assets |
| Optimize and manage models | - Track experiments and manage model lifecycle - Improve model performance |
| Explore and analyze data | - Ingest and prepare data for modeling - Perform exploratory data analysis |
| Train machine learning models | - Train models using Azure Machine Learning - Tune hyperparameters and evaluate models |
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