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Fortinet FCSS_SOC_AN-7.4 Exam Syllabus Topics:

Topic	Details
Topic 1	SOC automation: This section of the exam measures the skills of target professionals in the implementation of automated processes within a SOC. It emphasizes configuring playbook triggers and tasks, which are crucial for streamlining incident response. Candidates should be able to configure and manage connectors, facilitating integration between different security tools and systems.
Topic 2	SOC concepts and adversary behavior: This section of the exam measures the skills of Security Operations Analysts and covers fundamental concepts of Security Operations Centers and adversary behavior. It focuses on analyzing security incidents and identifying adversary behaviors. Candidates are expected to demonstrate proficiency in mapping adversary behaviors to MITRE ATT&CK tactics and techniques, which aid in understanding and categorizing cyber threats.
Topic 3	Architecture and detection capabilities: This section of the exam measures the skills of SOC analysts in the designing and managing of FortiAnalyzer deployments. It emphasizes configuring and managing collectors and analyzers, which are essential for gathering and processing security data.
Topic 4	SOC operation: This section of the exam measures the skills of SOC professionals and covers the day-to-day activities within a Security Operations Center. It focuses on configuring and managing event handlers, a key skill for processing and responding to security alerts. Candidates are expected to demonstrate proficiency in analyzing and managing events and incidents, as well as analyzing threat-hunting information feeds.

Fortinet FCSS - Security Operations 7.4 Analyst Sample Questions (Q79-Q84):

NEW QUESTION # 79
Refer to the exhibits.

You configured a custom event handler and an associated rule to generate events whenever FortiMail detects spam emails. However, you notice that the event handler is generating events for both spam emails and clean emails.
Which change must you make in the rule so that it detects only spam emails?

A. In the Log filter by Text field, type type==spam.
B. In the Log Type field, select Anti-Spam Log (spam)
C. In the Trigger an event when field, select Within a group, the log field Spam Name (snane) has 2 or more unique values.
D. Disable the rule to use the filter in the data selector to create the event.

Answer: B

Explanation:
Understanding the Custom Event Handler Configuration:
The event handler is set up to generate events based on specific log data.
The goal is to generate events specifically for spam emails detected by FortiMail.
Analyzing the Issue:
The event handler is currently generating events for both spam emails and clean emails.
This indicates that the rule's filtering criteria are not correctly distinguishing between spam and non- spam emails.
Evaluating the Options:
Option A: Selecting the "Anti-Spam Log (spam)" in the Log Type field will ensure that only logs related to spam emails are considered. This is the most straightforward and accurate way to filter for spam emails.
Option B: Typing type==spam in the Log filter by Text field might help filter the logs, but it is not as direct and reliable as selecting the correct log type.
Option C: Disabling the rule to use the filter in the data selector to create the event does not address the issue of filtering for spam logs specifically.
Option D: Selecting "Within a group, the log field Spam Name (snane) has 2 or more unique values" is not directly relevant to filtering spam logs and could lead to incorrect filtering criteria. Conclusion:
The correct change to make in the rule is to select "Anti-Spam Log (spam)" in the Log Type field. This ensures that the event handler only generates events for spam emails.
Reference: Fortinet Documentation on Event Handlers and Log Types.
Best Practices for Configuring FortiMail Anti-Spam Settings.

NEW QUESTION # 80
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 filter log search results based on the group.
C. You can aggregate and compress logging data for the devices in the group.
D. You can configure separate logging rates per group.

Answer: B

NEW QUESTION # 81
Which statement best describes the MITRE ATT&CK framework?

A. It contains some techniques or subtechniques that fall under more than one tactic.
B. Itprovides a high-level description of common adversary activities, but lacks technical details
C. It covers tactics, techniques, and procedures, but does not provide information about mitigations.
D. It describes attack vectors targeting network devices and servers, but not user endpoints.

Answer: A

Explanation:
* Understanding the MITRE ATT&CK Framework:
* The MITRE ATT&CK framework is a comprehensive matrix of tactics and techniques used by adversaries to achieve their objectives.
* It is widely used for understanding adversary behavior, improving defense strategies, and conducting security assessments.
* Analyzing the Options:
* Option A:The framework provides detailed technical descriptions of adversary activities, including specific techniques and subtechniques.
* Option B:The framework includes information about mitigations and detections for each technique and subtechnique, providing comprehensive guidance.
* Option C:MITRE ATT&CK covers a wide range of attack vectors, including those targeting user endpoints, network devices, and servers.
* Option D:Some techniques or subtechniques do indeed fall under multiple tactics, reflecting the complex nature of adversary activities that can serve different objectives.
* Conclusion:
* The statement that best describes the MITRE ATT&CK framework is that it contains some techniques or subtechniques that fall under more than one tactic.
References:
* MITRE ATT&CK Framework Documentation.
* Security Best Practices and Threat Intelligence Reports Utilizing MITRE ATT&CK.

NEW QUESTION # 82
Refer to the exhibits.

What can you conclude from analyzing the data using the threat hunting module?

A. DNS tunneling is being used to extract confidential data from the local network.
B. FTP is being used as command-and-control (C&C) technique to mine for data.
C. Spearphishing is being used to elicit sensitive information.
D. Reconnaissance is being used to gather victim identityinformation from the mail server.

Answer: A

Explanation:
* Understanding the Threat Hunting Data:
* The Threat Hunting Monitor in the provided exhibits shows various application services, their usage counts, and data metrics such as sent bytes, average sent bytes, and maximum sent bytes.
* The second part of the exhibit lists connection attempts from a specific source IP (10.0.1.10) to a destination IP (8.8.8.8), with repeated "Connection Failed" messages.
* Analyzing the Application Services:
* DNS is the top application service with a significantly high count (251,400) and notable sent bytes (9.1 MB).
* This large volume of DNS traffic is unusual for regular DNS queries and can indicate the presence of DNS tunneling.
* DNS Tunneling:
* DNS tunneling is a technique used by attackers to bypass security controls by encoding data within DNS queries and responses. This allows them to extract data from the local network without detection.
* The high volume of DNS traffic, combined with the detailed metrics, suggests that DNS tunneling might be in use.
* Connection Failures to 8.8.8.8:
* The repeated connection attempts from the source IP (10.0.1.10) to the destination IP (8.8.8.8) with connection failures can indicate an attempt to communicate with an external server.
* Google DNS (8.8.8.8) is often used for DNS tunneling due to its reliability and global reach.
* Conclusion:
* Given the significant DNS traffic and the nature of the connection attempts, it is reasonable to conclude that DNS tunneling is being used to extract confidential data from the local network.
* Why Other Options are Less Likely:
* Spearphishing (A): There is no evidence from the provided data that points to spearphishing attempts, such as email logs or phishing indicators.
* Reconnaissance (C): The data does not indicate typical reconnaissance activities, such as scanning or probing mail servers.
* FTP C&C (D): There is no evidence of FTP traffic or command-and-control communications using FTP in the provided data.
References:
* SANS Institute: "DNS Tunneling: How to Detect Data Exfiltration and Tunneling Through DNS Queries" SANS DNS Tunneling
* OWASP: "DNS Tunneling" OWASP DNS Tunneling
By analyzing the provided threat hunting data, it is evident that DNS tunneling is being used to exfiltrate data, indicating a sophisticated method of extracting confidential information from the network.

NEW QUESTION # 83
Which outcome indicates successful integration of connectors in a SOC playbook?

A. Seamless interaction between different security systems
B. High visibility of internal operations to the public
C. Increased manual interventions in processes
D. Frequent need for system reboots

Answer: A

NEW QUESTION # 84
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FORTINET - HIGH-QUALITY FCSS_SOC_AN-7.4 FREE SAMPLE QUESTIONS

Fortinet - High-quality FCSS_SOC_AN-7.4 Free Sample Questions