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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

Topic	Details
Topic 1	Machine learning, UEBA, and ZTNA: This section of the exam measures the skills of Advanced Security Architects and covers the integration of modern security technologies. It involves performing configuration tasks for machine learning models, incorporating UEBA (User and Entity Behavior Analytics) data into rules and dashboards for enhanced threat detection, and understanding how to integrate ZTNA (Zero Trust Network Access) principles into security operations.
Topic 2	Rules and subpatterns: This section of the exam measures the skills of SOC Engineers and focuses on the construction and implementation of analytics rules. It involves identifying the different components that make up a rule, utilizing advanced features like subpatterns and aggregation, and practically configuring these rules within the FortiSIEM platform to detect security events.
Topic 3	Analytics: This section of the exam measures the skills of Security Analysts and covers the foundational techniques for building and refining queries. It focuses on creating searches from events, applying grouping and aggregation methods, and performing various lookup operations, including CMDB and nested queries to effectively analyze and correlate data.
Topic 4	Incidents, notifications, and remediation: This section of the exam measures the skills of Incident Responders and encompasses the entire incident management lifecycle. This includes the skills required to manage and prioritize security incidents, configure policies for alert notifications, and set up automated remediation actions to contain and resolve threats.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which two data areas can you use for user and entity behavior analytics (UEBA) machine learning models? (Choose two.)

A. resources
B. network
C. location
D. process

Answer: B,C

Explanation:
FortiSIEM's UEBA models analyze user and entity behavior by correlating data such as location (for detecting unusual logins or access patterns) and network activity (for identifying abnormal communication or traffic behaviors). These data areas enable the system to build baseline profiles and detect anomalies indicating potential insider threats or compromised accounts.

NEW QUESTION # 18
Refer to the exhibit.

As shown in the exhibit, why are some of the fields highlighted in red?

A. Unique values cannot be grouped.
B. The Event Receive Time attribute is not available for logs.
C. The attribute COUNT(Matched Events) is an invalid expression.
D. No RAW Event Log attribute information is available.

Answer: A

Explanation:
The fields are highlighted in red because unique values such as Event Receive Time and Raw Event Log cannot be used in group-by operations. Grouping requires aggregatable or consistent values across events, while these fields are unique to each event, making them incompatible for grouping.

NEW QUESTION # 19
Refer to the exhibit.

Which two conditions will match this rule and subpatterns? (Choose two.)

A. A user connects to the wrong IP address for an RDP session five times.
B. A user using RDP over SSL VPN fails to log in to an application five times.
C. A user runs a brute force password cracker against an RDP server.
D. A user fails twice to log in when connecting through RDP.

Answer: B,C

Explanation:
The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) >= 3) - both from the same Source IP and User within 300 seconds.
The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.

NEW QUESTION # 20
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 condition time window is too short.
B. The Boolean between the subpatterns is incorrect.
C. The subpattern relationship RDP_Connection:User = Failed_Logon:User will never match.
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 # 21
Refer to the exhibit.

The analyst is troubleshooting the analytics query shown in the exhibit.
Why is this search not producing any results?

A. You cannot reference User and Event Type attributes in the same search.
B. The Boolean operator is wrong between the attributes.
C. The Time Range is set incorrectly.
D. The inner and outer nested query attribute types do not match.

Answer: D

Explanation:
The issue is that the "User" attribute is incorrectly assigned a Device IP group value, which is a mismatch of attribute types. "User" expects a user name or identity, not a device IP group. This mismatch between the attribute type and the provided value causes the search to return no results.

NEW QUESTION # 22
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