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If you are looking to advance in the fast-paced and technological world, LatestCram is here to help you achieve this aim. LatestCram provides you with the excellent FCSS - Security Operations 7.4 Analyst (FCSS_SOC_AN-7.4) practice exam, which will make your dream come true of passing the FCSS - Security Operations 7.4 Analyst (FCSS_SOC_AN-7.4) certification exam on the first attempt.

Fortinet FCSS_SOC_AN-7.4 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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 (Q46-Q51):

NEW QUESTION # 46
Exhibit:

Which observation about this FortiAnalyzer Fabric deployment architecture is true?

A. The AMER HQ SOC team cannot run automation playbooks from the Fabric supervisor.
B. The APAC SOC team has access to FortiView and other reporting functions.
C. The AMER HQ SOC team must configure high availability (HA) for the supervisor node.
D. The EMEA SOC team has access to historical logs only.

Answer: A

Explanation:
Understanding FortiAnalyzer Fabric Deployment:
FortiAnalyzer Fabric deployment involves a hierarchical structure where the Fabric root (supervisor) coordinates with multiple Fabric members (collectors and analyzers).
This setup ensures centralized log collection, analysis, and incident response across geographically distributed locations.
Analyzing the Exhibit:
FAZ1-Supervisor is located at AMER HQ and acts as the Fabric root.
FAZ2-Analyzer is a Fabric member located in EMEA.
FAZ3-Collector and FAZ4-Collector are Fabric members located in EMEA and APAC, respectively.
Evaluating the Options:
Option A: The statement indicates that the AMER HQ SOC team cannot run automation playbooks from the Fabric supervisor. This is true because automation playbooks and certain orchestration tasks typically require local execution capabilities which may not be fully supported on the supervisor node.
Option B: High availability (HA) configuration for the supervisor node is a best practice for redundancy but is not directly inferred from the given architecture.
Option C: The EMEA SOC team having access to historical logs only is not correct since FAZ2-Analyzer provides full analysis capabilities.
Option D: The APAC SOC team has access to FortiView and other reporting functions through FAZ4-Collector, but this is not explicitly detailed in the provided architecture. Conclusion:
The most accurate observation about this FortiAnalyzer Fabric deployment architecture is that the AMER HQ SOC team cannot run automation playbooks from the Fabric supervisor.
Reference: Fortinet Documentation on FortiAnalyzer Fabric Deployment.
Best Practices for FortiAnalyzer and Automation Playbooks.

NEW QUESTION # 47
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 configure separate logging rates per group.
C. You can filter log search results based on the group.
D. You can aggregate and compress logging data for the devices in the group.

Answer: C

NEW QUESTION # 48
Refer to the exhibits.

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

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

Answer: C

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.
Reference: 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 # 49
Refer to the exhibits.

You configured a spearphishing event handler and the associated rule. However. FortiAnalyzer did not generate an event.
When you check the FortiAnalyzer log viewer, you confirm that FortiSandbox forwarded the appropriate logs, as shown in the raw log exhibit.
What configuration must you change on FortiAnalyzer in order for FortiAnalyzer to generate an event?

A. In the Log Filter by Text field, type the value:.5 ub t ype ma Iwa re..
B. Configure a FortiSandbox data selector and add it tothe event handler.
C. In the Log Type field, changethe selection toAntiVirus Log(malware).
D. Change trigger condition by selecting. Within a group, the log field Malware Kame (mname> has 2 or more unique values.

Answer: B

Explanation:
* Understanding the Event Handler Configuration:
* The event handler is set up to detect specific security incidents, such as spearphishing, based on logs forwarded from other Fortinet products like FortiSandbox.
* An event handler includes rules that define the conditions under which an event should be triggered.
* Analyzing the Current Configuration:
* The current event handler is named "Spearphishing handler" with a rule titled "Spearphishing Rule 1".
* The log viewer shows that logs are being forwarded by FortiSandbox but no events are generated by FortiAnalyzer.
* Key Components of Event Handling:
* Log Type: Determines which type of logs will trigger the event handler.
* Data Selector: Specifies the criteria that logs must meet to trigger an event.
* Automation Stitch: Optional actions that can be triggered when an event occurs.
* Notifications: Defines how alerts are communicated when an event is detected.
* Issue Identification:
* Since FortiSandbox logs are correctly forwarded but no event is generated, the issue likely lies in the data selector configuration or log type matching.
* The data selector must be configured to include logs forwarded by FortiSandbox.
* Solution:
* B. Configure a FortiSandbox data selector and add it to the event handler:
* By configuring a data selector specifically for FortiSandbox logs and adding it to the event handler, FortiAnalyzer can accurately identify and trigger events based on the forwarded logs.
* Steps to Implement the Solution:
* Step 1: Go to the Event Handler settings in FortiAnalyzer.
* Step 2: Add a new data selector that includes criteria matching the logs forwarded by FortiSandbox (e.g., log subtype, malware detection details).
* Step 3: Link this data selector to the existing spearphishing event handler.
* Step 4: Save the configuration and test to ensure events are now being generated.
* Conclusion:
* The correct configuration of a FortiSandbox data selector within the event handler ensures that FortiAnalyzer can generate events based on relevant logs.
References:
* Fortinet Documentation on Event Handlers and Data Selectors FortiAnalyzer Event Handlers
* Fortinet Knowledge Base for Configuring Data Selectors FortiAnalyzer Data Selectors By configuring a FortiSandbox data selector and adding it to the event handler, FortiAnalyzer will be able to accurately generate events based on the appropriate logs.

NEW QUESTION # 50
What is the primary goal of a Security Operations Center (SOC) when analyzing security incidents?

A. To manage IT support tickets
B. To improve network performance
C. To enforce compliance with data protection laws
D. To identify and respond to security threats

Answer: D

NEW QUESTION # 51
......

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