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Study guide — DP-100

The official Designing and Implementing a Data Science Solution on Azure syllabus, organized by domain. Check off each point as you review it.

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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