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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Rules and Incident Management- Incidents and Notifications
  • 1. Manage and tune incidents
  • 2. Configure notification policies
  • 3. Configure remediation options
- Rules and Alerts
  • 1. Configure FortiSIEM analytics rules
  • 2. Identify various rule components
  • 3. Utilize rule subpatterns, aggregation, group by
Advanced Analytics and Integrations- ML, UEBA, and ZTNA
  • 1. Configure machine learning (ML) settings
  • 2. Integrate UEBA data into rules and dashboards
  • 3. Describe ZTNA integration in FortiSIEM operations
Analytics and Search- Query and Event Analysis
  • 1. Perform nested query lookups
  • 2. Build queries from search results and events
  • 3. Apply group by and data aggregation
  • 4. Perform CMDB and lookup table queries
FortiEDR and Security Policy Integration- FortiEDR Security Configuration
  • 1. Configure playbooks
  • 2. Configure communication control policy
  • 3. Configure security policies
  • 4. Explain Fortinet Cloud Service (FCS)

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q24-Q29):

NEW QUESTION # 24
A rule that detects network connections to an SSH server is triggering constantly in response to background internet traffic and must be tuned. Which method is used to tune this rule and solve the issue?

Answer: C

Explanation:
Increasing the matched-event count threshold tunes the rule so that a single or low-volume background connection does not immediately create an incident. The rule will trigger only when the number of SSH connection events reaches the defined threshold within the rule's evaluation window.


NEW QUESTION # 25
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 # 26
Which run mode takes the most time to perform machine learning tasks?

Answer: C

Explanation:
The correct answer is Local Auto. The uploaded answer was right, but its explanation was sloppy because it incorrectly described Local mode as the most time-consuming mode. In FortiSIEM machine learning, Local Auto mode selects the best algorithm by evaluating multiple candidate algorithms. The User Guide states that in Local Auto mode, "FortiSIEM picks the best algorithm" and that the Max Run Time parameter limits how long the job can run; longer runtime can produce better results. That is why Local Auto can take the most time. Forecasting and Regression are task types, not run modes.


NEW QUESTION # 27
Refer to the exhibit. What is this rule attempting to match?

Answer: B

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 # 28
Refer to the exhibits.


You want the rule shown in the exhibit to trigger when three failed login attempts occur within 3 minutes.
Which condition time window and aggregate values are correct for your objective?

Answer: D

Explanation:
Three minutes equals 180 seconds. Because the aggregate operator shown is greater than, the matched-event count must be set to 2 so the rule triggers when the count becomes greater than
2, meaning three or more failed login attempts occur within the condition window.


NEW QUESTION # 29
......

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