FCSS_SOC_AN-7.4 Online Practice Questions

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The practice questions for FCSS_SOC_AN-7.4 exam was last updated on 2025-04-26 .

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Question#1

Which two types of variables can you use in playbook tasks? (Choose two.)

A. input
B. Output
C. Create
D. Trigger

Explanation:
Understanding Playbook Variables:
Playbook tasks in Security Operations Center (SOC) playbooks use variables to pass and manipulate data between different steps in the automation process.
Variables help in dynamically handling data, making the playbook more flexible and adaptive to
different scenarios.
Types of Variables:
Input Variables:
Input variables are used to provide data to a playbook task. These variables can be set manually or derived from previous tasks.
They act as parameters that the task will use to perform its operations.
Output Variables:
Output variables store the result of a playbook task. These variables can then be used as inputs for subsequent tasks.
They capture the outcome of the task's execution, allowing for the dynamic flow of information
through the playbook.
Other Options:
Create: Not typically referred to as a type of variable in playbook tasks. It might refer to an action but not a variable type.
Trigger: Refers to the initiation mechanism of the playbook or task (e.g., an event trigger), not a type
of variable.
Conclusion:
The two types of variables used in playbook tasks are input and output.
Reference: Fortinet Documentation on Playbook Configuration and Variable Usage.
General SOC Automation and Orchestration Practices.

Question#2

Which FortiAnalyzer feature uses the SIEM database for advance log analytics and monitoring?

A. Threat hunting
B. Asset Identity Center
C. Event monitor
D. Outbreak alerts

Explanation:
Understanding FortiAnalyzer Features:
FortiAnalyzer includes several features for log analytics, monitoring, and incident response.
The SIEM (Security Information and Event Management) database is used to store and analyze log
data, providing advanced analytics and insights.
Evaluating the Options:
Option A: Threat hunting
Threat hunting involves proactively searching through log data to detect and isolate threats that may not be captured by automated tools.
This feature leverages the SIEM database to perform advanced log analytics, correlate events, and
identify potential security incidents.
Option B: Asset Identity Center
This feature focuses on asset and identity management rather than advanced log analytics.
Option C: Event monitor
While the event monitor provides real-time monitoring and alerting based on logs, it does not specifically utilize advanced log analytics in the way the SIEM database does for threat hunting.
Option D: Outbreak alerts
Outbreak alerts provide notifications about widespread security incidents but are not directly related to advanced log analytics using the SIEM database. Conclusion:
The feature that uses the SIEM database for advanced log analytics and monitoring in FortiAnalyzer is
Threat hunting.
Reference: Fortinet Documentation on FortiAnalyzer Features and SIEM Capabilities.
Security Best Practices and Use Cases for Threat Hunting.

Question#3

Which MITRE ATT&CK tactic involves an adversary trying to maintain their foothold within a network?

A. Initial Access
B. Execution
C. Persistence
D. Discovery

Question#4

Which elements should be included in an effective SOC report?
(Choose Three)

A. Detailed analysis of every logged event
B. Summary of incidents and their statuses
C. Recommendations for improving security posture
D. Marketing analysis for the quarter
E. Action items for follow-up

Question#5

You are managing 10 FortiAnalyzer devices in a FortiAnalyzer Fabric. In this scenario, what is a benefit of configuring a Fabric group?

A. You can apply separate data storage policies per group.
B. You can aggregate and compress logging data for the devices in the group.
C. You can filter log search results based on the group.
D. You can configure separate logging rates per group.

Exam Code: FCSS_SOC_AN-7.4Q & A: 90 Q&AsUpdated:  2025-04-26

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