Machine Learning
Amazon SageMaker Unified Studio
Amazon SageMaker Unified Studio provides a governed environment for discovering data and developing analytics, machine learning, and generative AI assets. It brings projects, permissions, tools, and cataloged resources into a shared workspace.
Key points
- Projects establish governed collaboration boundaries
- Catalog integration improves discovery and lineage of approved assets
- Administrative policies control which tools and resources builders can use
When to use it
- Give a cross-functional team governed access to GenAI datasets and experiments
- Develop and share an approved RAG prototype within a project
Exam tips
- Choose Unified Studio for governed collaborative development, not for serving a production API
- Project access must still map to least-privilege permissions on underlying data and services