What does "Auto deploy new builds" refer to in dataset configuration?

The phrase "Auto deploy new builds" in the context of dataset configuration specifically refers to the process of automatically updating datasets when new features or improved versions become available. This is a crucial capability for maintaining the relevance and performance of datasets in a constantly evolving environment, such as data analytics or machine learning.

By automatically deploying new builds, it ensures that users always have access to the latest enhancements, bug fixes, and overall improvements without requiring manual intervention. This capability increases efficiency, reduces the risk of human error in the deployment process, and ensures that users benefit from ongoing updates seamlessly.

The other options, while related to dataset management, do not encapsulate the meaning of "Auto deploy new builds" as accurately. Automatic backups involve preserving data states, deploying across multiple servers is about distribution rather than updates, and applying changes made to the dataset setup pertains to configurations rather than updates of new features.