Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. It provides a single, web-based visual interface where you can perform all machine learning (ML) development steps required to build, train, tune, debug, deploy, and monitor models. It gives data scientists all the tools you need to take ML models from experimentation to production without leaving the IDE. Moreover, as of November 2022, Studio supports shared spaces to accelerate real-time collaboration and multiple Amazon SageMaker domains in a single AWS Region for each account.
There are two prevailing use cases for Studio domain backup and recovery. The first use case involves a customer business unit and project wanting a functionality to replicate data scientists’ artifacts and data files to any target domains and profiles at will. The second use case involves the replication only when the domain and profile are deleted due to conditions such as the

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