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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Rules and Subpatterns	25%	- Configure subpatterns, aggregation, and correlation - Identify rule components and logic - Create and manage analytics rules
Topic 2: Machine Learning, UEBA, and ZTNA Integration	25%	- Integrate UEBA data into rules and dashboards - Configure machine learning models and tasks - Understand ZTNA integration and visibility
Topic 3: Analytics	25%	- Use nested queries and advanced lookups - Apply grouping and aggregation functions - Perform CMDB and lookup table queries - Build queries from events and search results
Topic 4: Incidents, Notifications, and Remediation	25%	- Set up automated remediation actions - Manage incident lifecycle and prioritization - Configure alert and notification policies

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q60-Q65):

NEW QUESTION # 60
When configuring anomaly detection machine learning, in which step must you select the fields to analyze?

A. Prepare Data
B. Schedule
C. Design
D. Train

Answer: A

Explanation:
In the Prepare Data step of configuring anomaly detection in FortiSIEM, you must select the fields to analyze. This step defines the input features that the machine learning model will evaluate during training and detection.

NEW QUESTION # 61
Which running mode takes the most time to perform machine learning tasks?

A. Regression
B. Local auto
C. Local
D. Forecasting

Answer: C

Explanation:
In Local mode, FortiSIEM performs machine learning tasks using the full dataset without optimization shortcuts, making it the most time-consuming mode compared to Local Auto, Forecasting, or Regression.

NEW QUESTION # 62
Which analytics search can be used to apply a user and entity behavior analytics (UEBA) tag to an event for a failed login by the user JSmith?

A. User = smith
B. Username CONTAIN smit
C. User IS jsmith
D. Username NOT END WITH jsmith

Answer: C

Explanation:
The correct syntax to match an exact username in FortiSIEM analytics search is User IS jsmith.
This ensures that the UEBA tag is applied only when the event is specifically tied to the user
"jsmith", which is required for accurate behavioral analytics.

NEW QUESTION # 63
Refer to the exhibits.

An analyst is troubleshooting why the rule shown in the exhibit is generating incidents for successful RDP connections.
Given the rule conditions and subpatterns, what is causing the problem?

A. The subpattern relationship RDP_Connection:User = Failed_Logon:User will never match.
B. The Boolean between the subpatterns is incorrect.
C. The condition time window is too short.
D. The Failed_Logon subpattern is not checking for failed authentications.

Answer: B

Explanation:
The rule condition combines the two subpatterns with an OR, so the rule fires when either an RDP_Connection event or a Failed_Logon pattern occurs. This causes incidents to be generated for successful RDP connections even when no failed logons are present. The subpatterns should be combined with AND so that incidents are created only when both the RDP connection and the failed logons occur together.

NEW QUESTION # 64
Refer to the exhibit.

Which section contains the subpattern configuration that determines how many matching events are needed to trigger the rule?

A. Filters
B. Actions
C. Aggregate
D. Group By

Answer: C

Explanation:
The Aggregate section contains the condition COUNT(Matched Events) >= 1, which defines how many events must match the filter criteria for the rule to trigger. This is the subpattern configuration that determines the event threshold.

NEW QUESTION # 65
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