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Fortinet FCP_FSM_AN-7.2 Exam Overview:

Certification Vendor:Fortinet
Exam Name:FCP - FortiSIEM 7.2 Analyst
Exam Number:FCP_FSM_AN-7.2
Available Languages:Japanese, English
Exam Format:Multiple Select, Multiple Choice, Scenario-based
Passing Score:Pass/Fail
Real Exam Qty:30–35
Exam Price:USD 200
Exam Duration:60 minutes
Certificate Validity Period:2 years
Related Certifications:Fortinet Certified Professional Security Operations
Recommended Training:Fortinet Official Training: FortiSIEM 7.2 Analyst
Exam Registration:Pearson VUE
Sample Questions:Fortinet FCP_FSM_AN-7.2 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:No mandatory prerequisites; recommended: basic SIEM knowledge, security fundamentals, hands-on FortiSIEM experience
Official Syllabus URL:https://www.fortinet.com/training-certification/certifications/fcp-fortisiem-7-2-analyst

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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
  • 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 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
  • 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 (Q19-Q24):

NEW QUESTION # 19
Refer to the exhibit.

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

Answer: D

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 # 20
Refer to the exhibit.

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

Answer: C

Explanation:
Grouping by User and Count yields five unique pairs: (Mike,4), (Bob,3), (Alice,2), (Bob,6), (Mike,5).


NEW QUESTION # 21
Refer to the exhibits.

Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?

Answer: A

Explanation:
The rule triggers when the average CPU utilization (AVG(CPU Util)) exceeds the device's CMDB critical threshold and there are at least two matching events within the 10-minute window.
Server A: Average CPU = (90 + 95) / 2 = 92.5, which is greater than its critical threshold of 90, and it has two events, so one incident is generated.
Server B: Average CPU = (70 + 60) / 2 = 65, which is below its critical threshold of 70, so no incident is generated.
So, Server A generates one incident, and Server B generates none.


NEW QUESTION # 22
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?

Answer: C

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 # 23
Refer to the exhibit.

If a rule containing the automation policy shown in the exhibit triggers, what will happen?

Answer: C

Explanation:
The automation policy is configured to run a remediation script named "Fortinet FortiOS - Block Source IP FortiOS via API". It specifies enforcement on two FortiGate devices: FortiGate508 and FortiGate90D. Therefore, associated source IP addresses will be blocked on those two FortiGate firewalls only.


NEW QUESTION # 24
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