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Get All FCP - FortiSIEM 7.2 Analyst Exam Questions with Validated Answers
| Vendor: | Fortinet |
|---|---|
| Exam Code: | FCP_FSM_AN-7.2 |
| Exam Name: | FCP - FortiSIEM 7.2 Analyst |
| Exam Questions: | 32 |
| Last Updated: | October 7, 2026 |
| Related Certifications: | , |
| Exam Tags: | Advanced FortiSEM AdministratorsFortiSEM Analysts |
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Refer to the exhibit.

If you group the events by User, Source IP, and Count attributes, how many results will FortiSIEM display?
Grouping by User, Source IP, and Count means that each unique combination of those three attributes will be treated as a separate result. In the table, all six rows have distinct combinations of User, Source IP, and Count - so FortiSIEM will display 6 results.
Refer to the exhibit.

If you group the events by User and Count attributes, how many results will FortiSIEM display?
Grouping by User and Count yields five unique pairs: (Mike,4), (Bob,3), (Alice,2), (Bob,6), (Mike,5).
Refer to the exhibit.

Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
In FortiSIEM nested analytics queries, you can reference both CMDB Queries and Event Queries as subqueries. These allow correlation between CMDB data and event data for advanced detection use cases.
Refer to the exhibit.

Which two conditions will match this rule and subpatterns? (Choose two.)
The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) >= 3) - both from the same Source IP and User within 300 seconds.
The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.
How does FortiSIEM update the incident table if a performance rule triggers repeatedly?
When a performance rule triggers repeatedly, FortiSIEM updates the existing incident by incrementing the Incident Count and refreshing the Last Seen timestamp. This avoids flooding the incident table with duplicates while still tracking repeated occurrences.
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