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| Section | Weight | Objectives |
|---|---|---|
| Event Collection and Normalization | 20% | - Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources |
| Incident Detection, Investigation and Response | 15% | - Applying incident response workflows and escalation - Using dashboards and tools for incident investigation |
| Event Correlation and Rule Management | 20% | - Managing alerts, tuning rules, reducing false positives - Creating and configuring correlation rules |
| Analytics | 30% | - Applying group by and data aggregation - Building queries from search results and events - Performing CMDB and lookup table queries |
| Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Configuring dashboards and real-time monitoring - Integrating with security tools and ZTNA |
>> Exam Fortinet NSE6_FSM_AN-7.4 Overviews <<
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NEW QUESTION # 29
Refer to the exhibit. Which event type attribute value will the FortiSIEM parser save for this event?
Answer: D
Explanation:
FortiSIEM parsers map raw event attributes to normalized event type attributes. In this event, the parser identifies the sysUpTime value and stores it under the normalized FortiSIEM attribute name PH_DEV_MON_SYS_UPTIME.
NEW QUESTION # 30
Refer to the exhibit.
An analyst is trying to identify an issue using an expression based on the Expression Builder settings shown in the exhibit; however, the error message shown in the exhibit indicates that the expression is invalid.
What is the correct syntax to create an expression that generates a total count of matched events?
Answer: A
Explanation:
The correct syntax is COUNT(Matched Events) - with proper capitalization and spacing - to generate a total count of matched events. The error in the exhibit likely stems from a formatting issue (e.g., lowercase count() or incorrect spacing), not the logical structure of the expression.
COUNT(Matched Events) . FortiSIEM uses aggregate functions inside rule subpatterns and analytics display fields to calculate values such as the number of matched events. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also shows that the Aggregate section is where expressions such as COUNT(Matched Events) are used to define event-count thresholds. In the exhibit, the expression is intended to generate a total count of matched events. The proper function format is the aggregate function name followed by the target field inside parentheses. Therefore, COUNT(Matched Events) is syntactically valid. Options B, C, and D are invalid because they place the function name outside the standard function-call format or attach the argument incorrectly. This matters because FortiSIEM's Expression Builder validates expressions according to function syntax. To count matched events, the function must be written as an aggregate operation over the Matched Events field.
NEW QUESTION # 31
Refer to the exhibit.
Which value would you expect the FortiSIEM parser to use to populate the Application Name field?
Answer: A
Explanation:
The Application Name field in FortiSIEM is typically populated using the value of the app field in the raw log. In this event, app="SSL", so "SSL" is the expected application name parsed by FortiSIEM.
NEW QUESTION # 32
How does FortiSIEM update the incident table if a performance rule triggers repeatedly?
Answer: A
Explanation:
The correct answer is B. FortiSIEM does not create a separate incident every time the same rule condition repeats. The FortiSIEM Study Guide explains that rules process events based on time periods, and if the same rule with the same incident conditions triggers repeatedly, FortiSIEM increases the count instead of creating a new incident. The incident list view includes the incident Count field for this purpose. The guide further explains that when an incident triggers for the first time, FortiSIEM sets First Occurred and Last Occurred to the same value. When the incident triggers again within the rule evaluation period, FortiSIEM increases the count and updates Last Occurred, while the triggered Events view displays the latest event data. This behavior prevents duplicate incident flooding while preserving evidence that the condition is recurring. Option A is incorrect because FortiSIEM does not use a "Repeated" incident status. Option C and D are incorrect because FortiSIEM does not generate a new incident for every repeated trigger when the incident conditions match an already active incident.
NEW QUESTION # 33
What are two required components of a rule? (Choose two.)
Answer: B,C
Explanation:
A FortiSIEM rule requires detection logic and at least one subpattern structure to evaluate matching events. The FortiSIEM Study Guide explains that a single subpattern rule example consists of filter, aggregate, and group-by sections. It states: "The subpattern, ExcessVPNLoginFailure, consists of three components: Filter, Aggregate, Group By." That confirms that a subpattern is a core rule component.
The FortiSIEM 7.4 User Guide also identifies Detection Technology as part of rule definition and built- in rule metadata. Detection Technology describes the detection method used by the rule, such as correlation, profiling, machine learning, or correlation using lookup tables. Exception policy is not required; it is used to suppress or tune matches under specific conditions. Clear policy is also not required; it controls how an incident can be cleared or auto-cleared after triggering. Therefore, the required components among the listed options are Subpattern and Detection Technology. Without them, the rule lacks both the event-detection structure and the detection-method classification needed for rule evaluation.
NEW QUESTION # 34
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