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| Section | Objectives |
|---|---|
| Topic 1: Rules and Subpatterns | - Analytics rules configuration
|
| Topic 2: Incidents, Notifications, and Remediation | - Incident management
|
| Topic 3: Analytics | - Query and event analysis
|
| Topic 4: Machine Learning, UEBA, and ZTNA | - Advanced analytics integration
|
| Topic 5: FortiEDR Security Settings and Policies | - Security configuration
|
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NEW QUESTION # 82
Refer to the exhibit.
Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
Answer: B,D
Explanation:
The FortiSIEM Study Guide defines a nested query as a query that has another query embedded within it, where the embedded query is known as the subquery. The FortiSIEM 7.4 User Guide lists the supported nested search scenarios: Outer CMDB Query, Inner Event Query ; Outer Event Query, Inner Event Query ; and Outer Event Query, Inner CMDB Query . These supported combinations prove that the inner or subquery can be either an Event Query or a CMDB Query. LDAP Query and SNMP Query are not listed as supported nested analytics subquery types. LDAP may be used for user discovery or authentication, and SNMP may be used for monitoring or discovery, but neither is referenced as a nested analytics query type.
The User Guide also explains that the outer query uses Select from Report to reference the saved inner query and that the matching attribute data types must align between the outer query and the selected display column in the inner query.
NEW QUESTION # 83
What are four incident status options on FortiSIEM?
Answer: C
Explanation:
FortiSIEM incidents can use status values that track the incident lifecycle, including active investigation, closure, clearing, and resolution. These statuses help analysts manage whether an incident is still open, has been cleared by conditions, has been closed, or has been resolved.
NEW QUESTION # 84
Which information can FortiSIEM retrieve from FortiClient EMS through an API connection?
Answer: A
Explanation:
The correct answer is D. ZTNA tags. FortiSIEM 7.4 includes FortiEMS endpoint tagging integration.
The FortiSIEM 7.4 User Guide states that FortiSIEM supports discovery of FortiEMS servers by using the FortiEMS Management Server API with basic username/password authentication. It also explains that after FortiEMS discovery, FortiSIEM can tag or untag a host by using classification tags on the FortiEMS server. In a ZTNA deployment, those tags are imported by member Fortinet devices, especially FortiGate firewalls, and are referenced in ZTNA firewall rules. The guide gives a common use case in which a host is tagged as suspicious or potentially compromised so firewall rules can isolate it or allow only minimal traffic. Host software versions, FortiSIEM license information, and host login credentials are not the FortiEMS API information relevant to this ZTNA tagging workflow. The API integration supports retrieving FortiEMS-managed host context and using classification/ZTNA tags for automated response and policy enforcement.
NEW QUESTION # 85
What can you use to send data to FortiSIEM for user and entity behavior analytics (UEBA)?
Answer: B
NEW QUESTION # 86
Refer to the exhibits.

Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?
Answer: C
Explanation:
The correct answer is D because Server A satisfies the rule's threshold and count requirements, while Server B does not. The Study Guide explains that a FortiSIEM subpattern consists of Filter , Aggregate , and Group By components. It also states that the Aggregate function defines how many or what metric values must match during the time window, while Group By controls how the matching events are grouped into rows. The performance metrics lesson explains that FortiSIEM collects performance and availability data, converts polling results into logs, and uses those metrics for performance, availability, resource utilization, and baselining. In the exhibit, the aggregate evaluates CPU utilization against the device's CPU critical threshold and also requires a matched-event count of at least two within the 10-minute window. Server A has CPU values above its critical threshold enough times in the window, so it generates one incident. Server B has a lower configured threshold but its collected CPU values do not satisfy the required aggregate condition for the grouped server. Therefore, only Server A generates an incident.
NEW QUESTION # 87
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