Guía de estudio — DP-100

Design a machine learning solution

• Select compute targets, including compute instances, compute clusters, and inference clusters
• Choose an appropriate development approach, including notebooks, Designer, or AutoML
• Select tools and frameworks for a solution, including the Azure ML SDK and CLI

Manage data for machine learning

• Create and manage datastores for various data sources
• Create and manage data assets, including URI files and tabular datasets
• Create and manage an Azure Machine Learning workspace, including access control