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What is the main benefit of using separate roles in Snowflake?

  1. To simplify user authentication

  2. To control access to data and resources

  3. To improve query performance

  4. To reduce storage costs

The correct answer is: To control access to data and resources

Using separate roles in Snowflake primarily serves to control access to data and resources. This role-based access control system allows organizations to define different user roles with specific permissions tailored to the needs of various users or groups. By implementing distinct roles, such as data analyst, data engineer, or database administrator, organizations can ensure that users have access only to the resources necessary for their tasks, thereby enhancing security and governance. In this model, roles can be designed to limit access to sensitive data or to specific databases, schemas, or tables, effectively managing what data each user or group can see or interact with. This granular level of control helps organizations enforce policies and compliance requirements while reducing the risk of unauthorized access to sensitive information. While the other choices touch on aspects that may be related but are not the primary benefit of using separate roles, controlling access is fundamental for maintaining data integrity and security in a cloud data platform such as Snowflake.