Which two statements are true regarding filters in Oracle Analytics Cloud Data Visualization?

The statement that variables may be employed in all types of filters is accurate because variables are versatile elements that can be used across different filtering contexts within Oracle Analytics Cloud Data Visualization. This includes their application in simple filters, expression filters, and other types of filtering mechanisms. By utilizing variables, users can create more dynamic and context-sensitive filters that enhance the analysis capabilities of their dashboards and reports.

In addition to this, understanding the nature of filters is important. Expression filters allow for more complex criteria by incorporating logical expressions and variables, but they are not universally applicable in all scenarios, such as within data flows. Similarly, application role filters are tied to user roles and permissions rather than being defined in the Oracle Data Modeler. Furthermore, while initialization blocks are helpful for filtering, they specifically pertain to session management and may not apply universally across all sources or filter types.