Splunk Core Certified User Practice Exam

How do Splunk admins typically separate data based on user roles?

1. By creating multiple users

2. By creating indexes for specific data

3. By using generic access rights

4. By utilizing the same index for all data

The correct answer is: By creating indexes for specific data

Splunk admins typically separate data based on user roles by creating indexes for specific data. This approach allows for fine-grained control over who can access what data, aligning data access with user roles and needs. By utilizing separate indexes, admins can designate specific datasets for distinct user groups, facilitating both data management and security. This method also enhances performance since searches can be directed to relevant indexes, reducing unnecessary loads on the system caused by broader searches across all data. Furthermore, by separating data into different indexes, admins can apply specific permissions, ensuring that users only see the data pertinent to their roles without overwhelming them with irrelevant information. The creation of multiple users, while necessary for establishing individual user accounts, does not inherently provide a mechanism for data separation—it’s the structure of indexes that truly enables this access control. Generic access rights might apply to multiple users but lack the specificity needed to tailor data access according to role. Utilizing the same index for all data would negate the possibility of effective data separation and risk exposing sensitive information to unauthorized users. Thus, creating specific indexes is the most effective method for managing data access according to user roles in Splunk.