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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Weight	Objectives
Incident Detection, Investigation and Response	15%	- Applying incident response workflows and escalation - Using dashboards and tools for incident investigation
Analytics	30%	- Performing CMDB and lookup table queries - Building queries from search results and events - Applying group by and data aggregation
Event Correlation and Rule Management	20%	- Managing alerts, tuning rules, reducing false positives - Creating and configuring correlation rules
Monitoring, Reporting and Integration	15%	- Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring - Generating compliance and operational reports
Event Collection and Normalization	20%	- Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which items are used to define a subpattern?

A. Filters, Aggregate, Time Window definitions
B. Filters, Aggregate, Group By definitions
C. Filters, Group By, Threshold definitions
D. Filters, Threshold, Time Window definitions

Answer: B

Explanation:
The correct answer is A. Filters, Aggregate, Group By definitions. FortiSIEM rule subpatterns are built from three main configuration areas. The Study Guide states that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also explains that the single- subpattern rule example in the FortiSIEM GUI demonstrates how "filters, aggregate, and group by" come together to form a subpattern rule. Filters define which events are eligible for matching, such as Event Type, Source IP, Destination IP, or other event attributes. Aggregate defines the threshold or statistical calculation, such as COUNT(Matched Events) > = 3 or an average metric threshold. Group By defines how FortiSIEM partitions matching events into separate evaluation groups, such as by User, Source IP, Destination IP, Host Name, or Reporting Device. Time Window is part of the higher-level rule condition, not one of the three subpattern definition sections. Therefore, the exact components used to define a subpattern are Filters, Aggregate, and Group By.

NEW QUESTION # 45
Refer to the exhibit. What is this rule attempting to match?

A. Failed VPN logon events from a source outside the home country.
B. Excessive VPN logon failures from a source inside the home country.
C. Failed VPN logon attempts from three or more different sources inside the home country.
D. Failed VPN logon attempts from three or more different outside countries.

Answer: A

Explanation:
The rule matches VPN logon failure events where the Source Country is not part of the GeoCountries group named My Home. The aggregate condition requires at least three matching events grouped by Source IP and User, identifying repeated failed VPN logon attempts from a source outside the home country.

NEW QUESTION # 46
Refer to the exhibit.

An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?

A. The Destination Host Name value is not fully qualified.
B. The Aggregate attribute is too restrictive.
C. The Group By attributes restricts which events are counted.
D. The Event Type refers to a CMDB lookup and should be an Event lookup.

Answer: C

Explanation:
The correct answer is C because the rule's Group By attributes determine how events are grouped before the aggregate condition is evaluated. The Study Guide explains that rule conditions are built from subpatterns consisting of event attribute filters and aggregation functions. It also explains that a subpattern combines filters, aggregate, and group by fields to form the rule logic. In this case, the filters may return matching events in Analytics, but the rule still may not trigger because the aggregate condition is calculated separately for each unique Group By combination. The exhibit groups by Destination IP and User while applying COUNT(Source IP) > = 2. This means FortiSIEM does not count all matching events together. Instead, it counts only events that share the same Destination IP and User combination. If no single grouped combination reaches the aggregate threshold, no incident is created. The issue is not the event lookup, not the Destination Host Name format, and not necessarily the aggregate expression itself. The grouping logic is what restricts the counted event set.

NEW QUESTION # 47
Which two processes run analytical queries and must always be running to perform searches?
(Choose two.)

A. phAnomalyMaster
B. phRuleMaster
C. phRuleWorker
D. phQueryWorker
E. phQueryMaster

Answer: D,E

Explanation:
Analytical searches depend on the query master and query worker processes. The master coordinates the query execution, while the workers run the query tasks against the event data so search results can be returned.

NEW QUESTION # 48
Refer to the exhibit. Which value will the FortiSIEM parser use to populate the Application Name field?

A. Network Service
B. Network.Service
C. SSL
D. Network.Service: SSL

Answer: C

Explanation:
The raw FortiGate event includes app="SSL", and the parser uses this value to populate the Application Name field.

NEW QUESTION # 49
......

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