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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	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.
Topic 4	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.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q19-Q24):

NEW QUESTION # 19
You need a model for predicting a target field based on other fields in a dataset and then trigger an anomaly if the value does not match the prediction. Which machine learning algorithm will build this type of model?

A. Clustering
B. Regression
C. Regression
D. Forecasting

Answer: B

Explanation:
A Regression algorithm is used when predicting a continuous or numeric target field based on other features in the dataset. In FortiSIEM, regression-based machine learning models establish expected values, and an anomaly is triggered when the actual observed value significantly deviates from the regression prediction.

NEW QUESTION # 20
Refer to the exhibit.

What is the Group: FortiSIEM Analysts value referring to?

A. LDAP user group
B. FortiSIEM organization group
C. Windows Active Directory user group
D. CMDB user group

Answer: D

Explanation:
In FortiSIEM, the value Group: FortiSIEM Analysts under the User attribute refers to a CMDB user group. These groups are defined within FortiSIEM's CMDB and used to logically organize users for analytics, correlation rules, and reporting.

NEW QUESTION # 21
Refer to the exhibit.

An analyst is trying to generate an incident with a title that includes the Source IP, Destination IP, User, and Destination Host Name. They are unable to add a Destination Host Name as an incident attribute.
What must be changed to allow the analyst to select Destination Host Name as an attribute?

A. The Destination IP Event Attribute must be removed.
B. The Destination Host Name must be set as an aggregate item in a subpattern.
C. The Destination Host Name must be selected as a Triggered Attribute.
D. The Destination Host Name must be added as an Event type in the FortiSIEM.

Answer: C

Explanation:
For an attribute like Destination Host Name to be used in the incident title, it must first be included in the Triggered Attributes list. Only attributes listed there are available for substitution in the title template (e.g., $destIpAddr, $srcIpAddr).

NEW QUESTION # 22
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 IS jsmith
B. Username NOT END WITH jsmith
C. Username CONTAIN smit
D. User = smith

Answer: A

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 # 23
Refer to the exhibit.

How was this incident cleared?

A. FortiSIEM cleared the incident automatically after 24 hours.
B. The incident was cleared automatically by the rule.
C. The analyst manually cleared the incident from the incident table.
D. The endpoint was rebooted and sent an all-clear signal to FortiSIEM.

Answer: B

Explanation:
The Incident Status shows "Auto Cleared", and the Cleared Reason states: "Rule has not been triggered for 20 minutes." This indicates that the incident was automatically cleared by the rule logic after a defined period of inactivity.

NEW QUESTION # 24
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