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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Incidents, Notifications, and Remediation25%- Set up automated remediation actions
- Configure alert and notification policies
- Manage incident lifecycle and prioritization
Topic 2: Analytics25%- Apply grouping and aggregation functions
- Use nested queries and advanced lookups
- Build queries from events and search results
- Perform CMDB and lookup table queries
Topic 3: Machine Learning, UEBA, and ZTNA Integration25%- Configure machine learning models and tasks
- Integrate UEBA data into rules and dashboards
- Understand ZTNA integration and visibility
Topic 4: Rules and Subpatterns25%- Identify rule components and logic
- Create and manage analytics rules
- Configure subpatterns, aggregation, and correlation

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q28-Q33):

NEW QUESTION # 28
Refer to the exhibit. If you group the events by Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?

Answer: D

Explanation:
When grouped by Reporting IP, Event Type, and User, FortiSIEM consolidates rows sharing the same values for these attributes.
Reporting IP: all are 10.1.1.1
Event Type: all are Logon
Users: Mike, Bob, and Alice
Thus, FortiSIEM will display three results, one for each user.


NEW QUESTION # 29
Refer to the exhibit.

What is the Group: FortiSIEM Analysts value referring to?

Answer: C

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 # 30
Refer to the exhibit.

What is the Group: FortiSIEM Analysts value referring to?

Answer: C

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 # 31
Refer to the exhibit.

What will happen when a device being analyzed by the machine learning configuration shown in the exhibit has a consistently high memory utilization?

Answer: C

Explanation:
In the configuration shown, FortiSIEM uses Memory Util, Sent Bytes, and Received Bytes as input features to predict CPU Utilization via a regression model. If a device shows consistently high memory utilization, the model will incorporate that into its training data and update itself with a higher average value for memory utilization, influencing future CPU utilization predictions.


NEW QUESTION # 32
Refer to the exhibit.

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

Answer: A

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


NEW QUESTION # 33
......

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