At ValidExamDumps, we consistently monitor updates to the Fortinet FCSS_SOC_AN-7.4 exam questions by Fortinet. Whenever our team identifies changes in the exam questions,exam objectives, exam focus areas or in exam requirements, We immediately update our exam questions for both PDF and online practice exams. This commitment ensures our customers always have access to the most current and accurate questions. By preparing with these actual questions, our customers can successfully pass the Fortinet FCSS - Security Operations 7.4 Analyst exam on their first attempt without needing additional materials or study guides.
Other certification materials providers often include outdated or removed questions by Fortinet in their Fortinet FCSS_SOC_AN-7.4 exam. These outdated questions lead to customers failing their Fortinet FCSS - Security Operations 7.4 Analyst exam. In contrast, we ensure our questions bank includes only precise and up-to-date questions, guaranteeing their presence in your actual exam. Our main priority is your success in the Fortinet FCSS_SOC_AN-7.4 exam, not profiting from selling obsolete exam questions in PDF or Online Practice Test.
Which FortiAnalyzer feature uses the SIEM database for advance log analytics and monitoring?
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.
Fortinet Documentation on FortiAnalyzer Features and SIEM Capabilities.
Security Best Practices and Use Cases for Threat Hunting.
Refer to Exhibit:
A SOC analyst is creating the Malicious File Detected playbook to run when FortiAnalyzer generates a malicious file event. The playbook must also update the incident with the malicious file event data.
What must the next task in this playbook be?
Understanding the Playbook and its Components:
The exhibit shows a playbook in which an event trigger starts actions upon detecting a malicious file.
The initial tasks in the playbook include CREATE_INCIDENT and GET_EVENTS.
Analysis of Current Tasks:
EVENT_TRIGGER STARTER: This initiates the playbook when a specified event (malicious file detection) occurs.
CREATE_INCIDENT: This task likely creates a new incident in the incident management system for tracking and response.
GET_EVENTS: This task retrieves the event details related to the detected malicious file.
Objective of the Next Task:
The next logical step after creating an incident and retrieving event details is to update the incident with the event data, ensuring all relevant information is attached to the incident record.
This helps SOC analysts by consolidating all pertinent details within the incident record, facilitating efficient tracking and response.
Evaluating the Options:
Option A: Update Asset and Identity is not directly relevant to attaching event data to the incident.
Option B: Attach Data to Incident sounds plausible but typically, updating an incident involves more comprehensive changes including status updates, adding comments, and other data modifications.
Option C: Run Report is irrelevant in this context as the goal is to update the incident with event data.
Option D: Update Incident is the most suitable action for incorporating event data into the existing incident record.
Conclusion:
The next task in the playbook should be to update the incident with the event data to ensure the incident reflects all necessary information for further investigation and response.
Fortinet Documentation on Playbook Creation and Incident Management.
Best Practices for Automating Incident Response in SOC Operations.
Refer to Exhibit:
You are tasked with reviewing a new FortiAnalyzer deployment in a network with multiple registered logging devices. There is only one FortiAnalyzer in the topology.
Which potential problem do you observe?
Understanding FortiAnalyzer Data Policy and Disk Utilization:
FortiAnalyzer uses data policies to manage log storage, retention, and disk utilization.
The Data Policy section indicates how long logs are kept for analytics and archive purposes.
The Disk Utilization section specifies the allocated disk space and the proportions used for analytics and archive, as well as when alerts should be triggered based on disk usage.
Analyzing the Provided Exhibit:
Keep Logs for Analytics: 60 Days
Keep Logs for Archive: 120 Days
Disk Allocation: 300 GB (with a maximum of 441 GB available)
Analytics: Archive Ratio: 30% : 70%
Alert and Delete When Usage Reaches: 90%
Potential Problems Identification:
Disk Space Allocation: The allocated disk space is 300 GB out of a possible 441 GB, which might not be insufficient if the log volume is high, but it is not the primary concern based on the given data.
Analytics-to-Archive Ratio: The ratio of 30% for analytics and 70% for archive is unconventional. Typically, a higher percentage is allocated for analytics since real-time or recent data analysis is often prioritized. A common configuration might be a 70% analytics and 30% archive ratio. The misconfigured ratio can lead to insufficient space for analytics, causing issues with real-time monitoring and analysis.
Retention Periods: While the retention periods could be seen as lengthy, they are not necessarily indicative of a problem without knowing the specific log volume and compliance requirements. The length of these periods can vary based on organizational needs and legal requirements.
Conclusion:
Based on the analysis, the primary issue observed is the analytics-to-archive ratio being misconfigured. This misconfiguration can significantly impact the effectiveness of the FortiAnalyzer in real-time log analysis, potentially leading to delayed threat detection and response.
Fortinet Documentation on FortiAnalyzer Data Policies and Disk Management.
Best Practices for FortiAnalyzer Log Management and Disk Utilization.
Which FortiAnalyzer connector can you use to run automation stitches9
Overview of Automation Stitches:
Automation stitches in FortiAnalyzer are predefined sets of automated actions triggered by specific events. These actions help in automating responses to security incidents, improving efficiency, and reducing the response time.
FortiAnalyzer Connectors:
FortiAnalyzer integrates with various Fortinet products and other third-party solutions through connectors. These connectors facilitate communication and data exchange, enabling centralized management and automation.
Available Connectors for Automation Stitches:
FortiCASB:
FortiCASB is a Cloud Access Security Broker that helps secure SaaS applications. However, it is not typically used for running automation stitches within FortiAnalyzer.
FortiMail:
FortiMail is an email security solution. While it can send logs and events to FortiAnalyzer, it is not primarily used for running automation stitches.
Local:
The local connector refers to FortiAnalyzer's ability to handle logs and events generated by itself. This is useful for internal processes but not specifically for integrating with other Fortinet devices for automation stitches.
FortiOS:
FortiOS is the operating system that runs on FortiGate firewalls. FortiAnalyzer can use the FortiOS connector to communicate with FortiGate devices and run automation stitches. This allows FortiAnalyzer to send commands to FortiGate, triggering predefined actions in response to specific events.
Detailed Process:
Step 1: Configure the FortiOS connector in FortiAnalyzer to establish communication with FortiGate devices.
Step 2: Define automation stitches within FortiAnalyzer that specify the actions to be taken when certain events occur.
Step 3: When a triggering event is detected, FortiAnalyzer uses the FortiOS connector to send the necessary commands to the FortiGate device.
Step 4: FortiGate executes the commands, performing the predefined actions such as blocking an IP address, updating firewall rules, or sending alerts.
Conclusion:
The FortiOS connector is specifically designed for integration with FortiGate devices, enabling FortiAnalyzer to execute automation stitches effectively.
Fortinet FortiOS Administration Guide: Details on configuring and using automation stitches.
Fortinet FortiAnalyzer Administration Guide: Information on connectors and integration options.
By utilizing the FortiOS connector, FortiAnalyzer can run automation stitches to enhance the security posture and response capabilities within a network.
When does FortiAnalyzer generate an event?
Understanding Event Generation in FortiAnalyzer:
FortiAnalyzer generates events based on predefined rules and conditions to help in monitoring and responding to security incidents.
Analyzing the Options:
Option A: Data selectors filter logs based on specific criteria but do not generate events on their own.
Option B: Connectors facilitate integrations with other systems but do not generate events based on log matches.
Option C: Event handlers are configured with rules that define the conditions under which events are generated. When a log matches a rule in an event handler, FortiAnalyzer generates an event.
Option D: Tasks in playbooks execute actions based on predefined workflows but do not directly generate events based on log matches.
Conclusion:
FortiAnalyzer generates an event when a log matches a rule in an event handler.
Fortinet Documentation on Event Handlers and Event Generation in FortiAnalyzer.
Best Practices for Configuring Event Handlers in FortiAnalyzer.
