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[General] FCP_FSM_AN-7.2 Valid Exam Labs Marvelous Questions Pool Only at TrainingDump

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【General】 FCP_FSM_AN-7.2 Valid Exam Labs Marvelous Questions Pool Only at TrainingDump

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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:
TopicDetails
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
  • 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 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
  • 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.

Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q33-Q38):NEW QUESTION # 33
When configuring anomaly detection machine learning, in which step must you select the fields to analyze?
  • A. Train
  • B. Prepare Data
  • C. Schedule
  • D. Design
Answer: B
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 # 34
Refer to the exhibit.

An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?
  • A. The Aggregate attribute is too restrictive.
  • B. The Event Type refers to a CMDB lookup and should be an Event lookup.
  • C. The Group By attributes restricts which events are counted.
  • D. The Destination Host Name value is not fully qualified.
Answer: C
Explanation:
The Group By attributes - Destination IP and User - cause the aggregation (COUNT(Source IP) >= 2) to apply within each unique combination of those groupings. This restricts the count calculation and can prevent the rule from triggering incidents, even if matching events exist in the Analytics tab.

NEW QUESTION # 35
Which items are used to define a subpattern?
  • A. Filters, Group By, Threshold definitions
  • B. Filters, Aggregate, Group By definitions
  • C. Filters, Threshold, Time Window definitions
  • D. Filters, Aggregate, Time Window definitions
Answer: B
Explanation:
A subpattern in FortiSIEM is defined using Filters to match specific events, Aggregate conditions to apply statistical thresholds (e.g., COUNT), and Group By attributes to segment data for evaluation. These three components collectively determine how the subpattern functions.

NEW QUESTION # 36
Refer to the exhibit.

What is the Group: FortiSIEM Analysts value referring to?
  • A. Windows Active Directory user group
  • B. FortiSIEM organization group
  • C. LDAP 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 # 37
Refer to the exhibit.

If you group the events by User and Count attributes, how many results will FortiSIEM display?
  • A. Two
  • B. Five
  • C. One
  • D. Three
  • E. Six
Answer: B
Explanation:
Grouping by User and Count yields five unique pairs: (Mike,4), (Bob,3), (Alice,2), (Bob,6), (Mike,5).

NEW QUESTION # 38
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