Fortinet FCSS_ADA_AR-6.7 Exam Dumps

The exhibit shows a FortiSIEM cluster deployed in a multi-tenant service provider environment, serving multiple customers. The architecture includes:

1. Customers with Collectors

Customer A and Customer B (AWS) have collectors deployed within their environments.

Collectors gather and forward logs to the FortiSIEM cluster for centralized analysis.

2. Customers Without Collectors

Customer C does not have a collector; instead, it sends logs directly to the FortiSIEM cluster.

3. Super Organization Managing Infrastructure

The service provider infrastructure devices (e.g., networking and security appliances) are managed directly by the FortiSIEM cluster.

This mixed setup, where some customers use collectors while others send logs directly, represents a hybrid deployment with and without collectors.

From the provided XML configuration, we need to focus on the <GroupByAttr> section, which defines the attributes used for grouping.

In the SelectClause, the following attributes are listed:

reptDevName, reptDevAddr, COUNT(*), COUNT(DISTINCT user), COUNT(DISTINCT srcIpAddr)

reptDevName represents the reporting device.

reptDevAddr represents the reporting IP.

COUNT(DISTINCT user) tracks unique users.

COUNT(DISTINCT srcIpAddr) tracks distinct source IPs.

In the GroupByAttr section:

<GroupByAttr>reptDevName, reptDevAddr</GroupByAttr>

This confirms that the grouping is performed by Reporting Device (reptDevName) and Reporting IP (reptDevAddr).

Group By automatically applies a COUNT aggregation.

When using Group By in FortiSIEM structured queries, it automatically applies a COUNT(*) function unless a different aggregation (such as SUM, AVG, or MAX) is specified. This helps summarize data by counting occurrences of grouped attributes.

Group By is applied to real-time and historical searches.

Grouping functions work in both real-time (live event monitoring) and historical (past event analysis) searches, making it useful for trend analysis, anomaly detection, and correlation.