What method is used to manage access to Databricks resources?

The method used to manage access to Databricks resources is role-based access control (RBAC). This approach assigns specific roles to users, which in turn dictate their permissions regarding what they can see and do within the Databricks environment. By implementing RBAC, organizations can ensure that individuals have the appropriate level of access based on their role within the team, promoting security and efficient resource management.

RBAC allows for fine-tuned governance, allowing admins to quickly grant or revoke access based on the user's responsibilities, ensuring that sensitive data and functionalities are only available to the appropriate personnel. This is particularly important in data-driven environments where different users require different levels of access to perform their tasks without risking unauthorized access to critical resources.

In contrast, file sharing options and email invitations do not provide a structured and secure way to manage access, as they are more about sharing and communicating rather than regulating permissions. Public access is not a viable method for managing access to resources in a controlled data environment, as it would expose sensitive data to anyone, thus undermining the integrity of security protocols.