Splunk Fundamentals 1 Practice Exam

How do Splunk admins commonly separate data based on user role?

1. By creating separate servers

2. By placing all data in one index

3. By creating indexes for specific data and applying role-based access control

4. By limiting search terms

The correct answer is: By creating indexes for specific data and applying role-based access control

The separation of data based on user roles in Splunk is effectively achieved by creating indexes for specific data and applying role-based access control. This approach enables administrators to manage data accessibility in a granular way, ensuring that users can only access data that is relevant to their responsibilities and permissions. By creating different indexes, administrators can categorize data according to criteria such as department, function, or sensitivity. Role-based access control (RBAC) complements this by assigning specific permissions to user roles, allowing them to view or search only the indexes they are authorized to access. This strategy helps to maintain data security and privacy while also streamlining data management within the organization. In contrast, using separate servers may complicate the infrastructure without necessarily enhancing data access control. Placing all data in one index would create accessibility issues and potential data exposure, as it wouldn’t segregate information appropriately. Finally, limiting search terms alone does not ensure proper data separation and can still leave sensitive data exposed to users who should not have access to it. Thus, the combination of creating indexes and applying role-based access control is the most effective method for separating data based on user roles in Splunk.