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Microsoft · DP-100
DP-100: Designing and Implementing a Data Science Solution on Azure
📝 208 questions
📄 21 pages
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All sections 208
Introduction to Azure Machine Learning 🔒
No-Code Machine Learning with Designer 🔒
Running Experiments and Training Models 🔒
Working with Data 🔒
Compute Contexts 🔒
Orchestrating Operations with Pipelines 🔒
Deploying and Consuming Models 🔒
Training Optimal Models 🔒
Interpreting Models 🔒
Monitoring Models 🔒
Define and Prepare the Development Environment 🔒
Prepare Data for Modeling 🔒
Develop models 🔒
Perform Feature Engineering 🔒
Design and prepare a machine learning solution (20–25%) 🔒
Explore data and train models 🔒
Prepare a model for deployment (20–25%) 🔒
Deploy and retrain a model (10–15%) 🔒
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