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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q27-Q32):

NEW QUESTION # 27
Refer to the exhibit.

What happens when an analyst clears an incident generated by a rule containing the automation policy shown in the exhibit?

Answer: A

Explanation:
The correct answer is B because the automation policy shown has the email/SMS/webhook notification action enabled, and the setting that suppresses notification for manual incident clearing is not selected. The FortiSIEM Study Guide explains that automation policies define actions taken when incident-related policy criteria match. It states that notification policies are defined by criteria such as severity, associated rules, time range, affected items, and actions. The guide also states that FortiSIEM can send email notifications and SMS messages to individuals or groups as part of an automation policy. In the exhibit, the options Do not notify when an incident is cleared automatically and Do not notify when an incident is cleared by system are selected, but Do not notify when an incident is cleared manually is not selected. Because the analyst clears the incident manually, the suppression condition does not apply. Therefore, FortiSIEM sends the configured email notification to the target user, identified in the question as the SOC manager.


NEW QUESTION # 28
Refer to the exhibit.

If you group the events by User and Count attributes, how many results will FortiSIEM display?

Answer: A

Explanation:
The verified answer is D. Five . FortiSIEM grouping is based on unique combinations of the selected Group By fields. The Study Guide explains this behavior clearly: if multiple events have the same selected Group By values, "they are grouped together in one row," and the count column tracks the number of events for each row. In this question, the selected fields are User and Count . The six raw rows contain these combinations:
Mike/4, Bob/3, Alice/2, Alice/2, Bob/6, and Mike/5. Because Alice/2 appears twice, those two rows are grouped into a single result. The remaining combinations are unique. So FortiSIEM displays five grouped results, not six. Six would be correct only if every row had a unique User-and-Count combination, or if grouping included another differentiating attribute such as Source IP. Since the question specifically groups only by User and Count, duplicate User/Count pairs collapse into one row. Therefore, the correct result count is five .


NEW QUESTION # 29
Refer to the exhibit.

An analyst wants the rule shown in the exhibit to trigger when three failed login attempts occur within three minutes.
What should the values be for the condition time window and aggregate count?

Answer: A

Explanation:
To detect three failed login attempts within three minutes, you must set the aggregate count to 3 in the subpattern and the time window to 180 seconds in the rule condition. This ensures the rule triggers only if three or more failed logins occur in that timeframe.


NEW QUESTION # 30
When configuring machine learning (ML), in which step can you modify how the model fits the training data set?

Answer: D

Explanation:
The Statistics step is where you tune statistical model parameters that affect how closely the machine learning model fits the training data set, such as deviation-related settings used for anomaly detection.


NEW QUESTION # 31
How can you use the configuration management database (CMDB) in an analytics search?

Answer: B

Explanation:
In an analytics search, FortiSIEM can use devices stored in the CMDB as searchable entities, such as source IP addresses. This allows searches and rule logic to reference known assets from the CMDB instead of relying only on manually entered IP values.


NEW QUESTION # 32
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