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FCSS_SOC_AN-7.4 Reliable Test Braindumps & FCSS_SOC_AN-7.4 Valid Braindumps

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FCSS_SOC_AN-7.4 Reliable Test Braindumps & FCSS_SOC_AN-7.4 Valid Braindumps

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Fortinet FCSS_SOC_AN-7.4 Exam Syllabus Topics:
TopicDetails
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 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.
Topic 4
  • 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.

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Fortinet FCSS - Security Operations 7.4 Analyst Sample Questions (Q34-Q39):NEW QUESTION # 34
Which FortiAnalyzer feature uses the SIEM database for advance log analytics and monitoring?
  • A. Event monitor
  • B. Outbreak alerts
  • C. Asset Identity Center
  • D. Threat hunting
Answer: D
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 isThreat hunting.
References:
* Fortinet Documentation on FortiAnalyzer Features and SIEM Capabilities.
* Security Best Practices and Use Cases for Threat Hunting.

NEW QUESTION # 35
Which three end user logs does FortiAnalyzer use to identify possible IOC compromised hosts? (Choose three.)
  • A. DNS filter logs
  • B. Web filter logs
  • C. Email filter logs
  • D. IPS logs
  • E. Application filter logs
Answer: A,B,D
Explanation:
Overview of Indicators of Compromise (IoCs): Indicators of Compromise (IoCs) are pieces of evidence that suggest a system may have been compromised. These can include unusual network traffic patterns, the presence of known malicious files, or other suspicious activities.
FortiAnalyzer's Role: FortiAnalyzer aggregates logs from various Fortinet devices to provide comprehensive visibility and analysis of network events. It uses these logs to identify potential IoCs and compromised hosts.
Relevant Log Types:
DNS Filter Logs:
DNS requests are a common vector for malware communication. Analyzing DNS filter logs helps in identifying suspicious domain queries, which can indicate malware attempting to communicate with command and control (C2) servers.
Reference: Fortinet Documentation on DNS Filtering FortiOS DNS Filter IPS Logs:
Intrusion Prevention System (IPS) logs detect and block exploit attempts and malicious activities.
These logs are critical for identifying compromised hosts based on detected intrusion attempts or behaviors matching known attack patterns.
Reference: Fortinet IPS Overview FortiOS IPS
Web Filter Logs:
Web filtering logs monitor and control access to web content. These logs can reveal access to malicious websites, download of malware, or other web-based threats, indicating a compromised host.
Reference: Fortinet Web Filtering FortiOS Web Filter
Why Not Other Log Types:
Email Filter Logs:
While important for detecting phishing and email-based threats, they are not as directly indicative of compromised hosts as DNS, IPS, and Web filter logs. Application Filter Logs:
These logs control application usage but are less likely to directly indicate compromised hosts compared to the selected logs.
Detailed Process:
Step 1: FortiAnalyzer collects logs from FortiGate and other Fortinet devices.
Step 2: DNS filter logs are analyzed to detect unusual or malicious domain queries.
Step 3: IPS logs are reviewed for any intrusion attempts or suspicious activities.
Step 4: Web filter logs are checked for access to malicious websites or downloads.
Step 5: FortiAnalyzer correlates the information from these logs to identify potential IoCs and compromised hosts.
Reference: Fortinet Documentation: FortiOS DNS Filter, IPS, and Web Filter administration guides.
FortiAnalyzer Administration Guide: Details on log analysis and IoC identification.
By using DNS filter logs, IPS logs, and Web filter logs, FortiAnalyzer effectively identifies possible compromised hosts, providing critical insights for threat detection and response.

NEW QUESTION # 36
While monitoring your network, you discover that one FortiGate device is sending significantly more logs to FortiAnalyzer than all of the other FortiGate devices in the topology.
Additionally, the ADOM that the FortiGate devices are registered to consistently exceeds its quota.
What are two possible solutions? (Choose two.)
  • A. Increase the storage space quota for the first FortiGate device.
  • B. Create a separate ADOM for the first FortiGate device and configure a different set of storage policies.
  • C. Reconfigure the first FortiGate device to reduce the number of logs it forwards to FortiAnalyzer.
  • D. Configure data selectors to filter the data sent by the first FortiGate device.
Answer: B,C
Explanation:
* Understanding the Problem:
* One FortiGate device is generating a significantly higher volume of logs compared to other devices, causing the ADOM to exceed its storage quota.
* This can lead to performance issues and difficulties in managing logs effectively within FortiAnalyzer.
* Possible Solutions:
* The goal is to manage the volume of logs and ensure that the ADOM does not exceed its quota, while still maintaining effective log analysis and monitoring.
* Solution A: Increase the Storage Space Quota for the First FortiGate Device:
* While increasing the storage space quota might provide a temporary relief, it does not address the root cause of the issue, which is the excessive log volume.
* This solution might not be sustainable in the long term as log volume could continue to grow.
* Not selected as it does not provide a long-term, efficient solution.
* Solution B: Create a Separate ADOM for the First FortiGate Device and Configure a Different Set of Storage Policies:
* Creating a separate ADOM allows for tailored storage policies and management specifically for the high-log-volume device.
* This can help in distributing the storage load and applying more stringent or customized retention and storage policies.
* Selected as it effectively manages the storage and organization of logs.
* Solution C: Reconfigure the First FortiGate Device to Reduce the Number of Logs it Forwards to FortiAnalyzer:
* By adjusting the logging settings on the FortiGate device, you can reduce the volume of logs forwarded to FortiAnalyzer.
* This can include disabling unnecessary logging, reducing the logging level, or filtering out less critical logs.
* Selected as it directly addresses the issue of excessive log volume.
* Solution D: Configure Data Selectors to Filter the Data Sent by the First FortiGate Device:
* Data selectors can be used to filter the logs sent to FortiAnalyzer, ensuring only relevant logs are forwarded.
* This can help in reducing the volume of logs but might require detailed configuration and regular updates to ensure critical logs are not missed.
* Not selected as it might not be as effective as reconfiguring logging settings directly on the FortiGate device.
* Implementation Steps:
* For Solution B:
* Step 1: Access FortiAnalyzer and navigate to the ADOM management section.
* Step 2: Create a new ADOM for the high-log-volume FortiGate device.
* Step 3: Register the FortiGate device to this new ADOM.
* Step 4: Configure specific storage policies for the new ADOM to manage log retention and storage.
* For Solution C:
* Step 1: Access the FortiGate device's configuration interface.
* Step 2: Navigate to the logging settings.
* Step 3: Adjust the logging level and disable unnecessary logs.
* Step 4: Save the configuration and monitor the log volume sent to FortiAnalyzer.
References:
* Fortinet Documentation on FortiAnalyzer ADOMs and log management FortiAnalyzer Administration Guide
* Fortinet Knowledge Base on configuring log settings on FortiGate FortiGate Logging Guide By creating a separate ADOM for the high-log-volume FortiGate device and reconfiguring its logging settings, you can effectively manage the log volume and ensure the ADOM does not exceed its quota.

NEW QUESTION # 37
Review the following incident report:
Attackers leveraged a phishing email campaign targeting your employees.
The email likely impersonated a trusted source, such as the IT department, and requested login credentials.
An unsuspecting employee clicked a malicious link in the email, leading to the download and execution of a Remote Access Trojan (RAT).
The RAT provided the attackers with remote access and a foothold in the compromised system.
Which two MITRE ATT&CK tactics does this incident report capture? (Choose two.)
  • A. Persistence
  • B. Lateral Movement
  • C. Initial Access
  • D. Defense Evasion
Answer: A,C
Explanation:
Understanding the MITRE ATT&CK Tactics:
The MITRE ATT&CK framework categorizes various tactics and techniques used by adversaries to achieve their objectives.
Tactics represent the objectives of an attack, while techniques represent how those objectives are achieved.
Analyzing the Incident Report:
Phishing Email Campaign: This tactic is commonly used for gaining initial access to a system. Malicious Link and RAT Download: Clicking a malicious link and downloading a RAT is indicative of establishing initial access.
Remote Access Trojan (RAT): Once installed, the RAT allows attackers to maintain access over an extended period, which is a persistence tactic.
Mapping to MITRE ATT&CK Tactics:
Initial Access:
This tactic covers techniques used to gain an initial foothold within a network.
Techniques include phishing and exploiting external remote services.
The phishing campaign and malicious link click fit this category.
Persistence:
This tactic includes methods that adversaries use to maintain their foothold.
Techniques include installing malware that can survive reboots and persist on the system.
The RAT provides persistent remote access, fitting this tactic.
Exclusions:
Defense Evasion:
This involves techniques to avoid detection and evade defenses.
While potentially relevant in a broader context, the incident report does not specifically describe actions taken to evade defenses.
Lateral Movement:
This involves moving through the network to other systems.
The report does not indicate actions beyond initial access and maintaining that access.
Conclusion:
The incident report captures the tactics of Initial Access and Persistence.
Reference: MITRE ATT&CK Framework documentation on Initial Access and Persistence tactics.
Incident analysis and mapping to MITRE ATT&CK tactics.

NEW QUESTION # 38
Refer to the exhibits.

What can you conclude from analyzing the data using the threat hunting module?
  • A. FTP is being used as command-and-control (C&C) technique to mine for data.
  • B. Reconnaissance is being used to gather victim identity information from the mail server.
  • C. DNS tunneling is being used to extract confidential data from the local network.
  • D. Spearphishing is being used to elicit sensitive information.
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 # 39
......
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