Google Cloud Professional Cloud Developer Practice Test

Using views in a BigQuery dataset provides significant benefits related to data access control, which aligns with the choice emphasizing security. Views can be utilized to create a layer of abstraction over the underlying tables, allowing users to access only the specific data they need based on defined roles and permissions. This means that sensitive data can be safeguarded while still enabling curated access to relevant information. By implementing views, organizations can ensure that users see only the data they are authorized to see, thus enforcing security policies and compliance requirements effectively.

In the context of other options, while increasing performance, dynamic data aggregation, and simplifying dataset structure are potential advantages in certain scenarios, they are not the primary benefits associated with the use of views in the same way as securing data access is. The primary focus of using views in BigQuery is to control and manage user access, tailoring what data users can see and interact with based on their roles.