FCP_FSM_AN-7.2퍼펙트최신공부자료최신덤프문제모음집

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Fortinet FCP_FSM_AN-7.2 시험요강:

주제	소개
주제 1	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.
주제 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.
주제 3	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.
주제 4	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.

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최신 Fortinet Certified Professional Security Operations FCP_FSM_AN-7.2 무료샘플문제 (Q44-Q49):

질문 # 44
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 inner and outer nested query attribute types do not match.
C. The Time Range is set incorrectly.
D. The Boolean operator is wrong between the attributes.

정답：B

설명：
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.

질문 # 45
Refer to the exhibit.

What is the Group: FortiSIEM Analysts value referring to?

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

정답：D

설명：
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.

질문 # 46
Refer to the exhibit.

Which value would you expect the FortiSIEM parser to use to populate the Application Name field?

A. SSL
B. applist
C. wan1
D. Network.Service

정답：A

설명：
The Application Name field in FortiSIEM is typically populated using the value of the app field in the raw log. In this event, app="SSL", so "SSL" is the expected application name parsed by FortiSIEM.

질문 # 47
Refer to the exhibit.

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

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

정답：B

설명：
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.

질문 # 48
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. Forecasting
B. Regression
C. Regression
D. Clustering

정답：B

질문 # 49
......

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