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[General] Fortinet NSE7_SOC_AR-7.6 Lernressourcen, NSE7_SOC_AR-7.6 Prüfungs

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【General】 Fortinet NSE7_SOC_AR-7.6 Lernressourcen, NSE7_SOC_AR-7.6 Prüfungs

Posted at before yesterday 23:29      View：21 | Replies：0        Print      Only Author   [Copy Link] 1#
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Fortinet NSE 7 - Security Operations 7.6 Architect NSE7_SOC_AR-7.6 Prüfungsfragen mit Lösungen (Q58-Q63):58. Frage
Refer to the exhibit.
Which two options describe how the Update Asset and Identity Database playbook is configured? (Choose two.)
  • A. The playbook is using an on-demand trigger.
  • B. The playbook is using a FortiClient EMS connector.
  • C. The playbook is using a local connector.
  • D. The playbook is using a FortiMail connector.
Antwort: B,C
Begründung:
* Understanding the Playbook Configuration:
* The playbook named "Update Asset and Identity Database" is designed to update the FortiAnalyzer Asset and Identity database with endpoint and user information.
* The exhibit shows the playbook with three main components: ON_SCHEDULE STARTER, GET_ENDPOINTS, and UPDATE_ASSET_AND_IDENTITY.
* Analyzing the Components:
* ON_SCHEDULE STARTER:This component indicates that the playbook is triggered on a schedule, not on-demand.
* GET_ENDPOINTS:This action retrieves information about endpoints, suggesting it interacts with an endpoint management system.
* UPDATE_ASSET_AND_IDENTITY:This action updates the FortiAnalyzer Asset and Identity database with the retrieved information.
* Evaluating the Options:
* Option A:The actions shown in the playbook are standard local actions that can be executed by the FortiAnalyzer, indicating the use of a local connector.
* Option B:There is no indication that the playbook uses a FortiMail connector, as the tasks involve endpoint and identity management, not email.
* Option C:The playbook is using an "ON_SCHEDULE" trigger, which contradicts the description of an on-demand trigger.
* Option D:The action "GET_ENDPOINTS" suggests integration with an endpoint management system, likely FortiClient EMS, which manages endpoints and retrieves information from them.
* Conclusion:
* The playbook is configured to use a local connector for its actions.
* It interacts with FortiClient EMS to get endpoint information and update the FortiAnalyzer Asset and Identity database.
References:
Fortinet Documentation on Playbook Actions and Connectors.
FortiAnalyzer and FortiClient EMS Integration Guides.

59. Frage
What are three capabilities of the built-in FortiSOAR Jinja editor? (Choose three answers)
  • A. It creates new records in bulk.
  • B. It renders output by combining Jinja expressions and JSON input.
  • C. It loads the environment JSON of a recently executed playbook.
  • D. It checks the validity of a Jinja expression.
  • E. It defines conditions to trigger a playbook step.
Antwort: B,C,D
Begründung:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
The built-in Jinja editor inFortiSOAR 7.6is a powerful utility designed to help playbook developers write and test complex data manipulation logic without having to execute the entire playbook. Its primary capabilities include:
* Renders output (A):The editor provides a "Preview" or "Evaluation" pane. By combining aJinja expressionwith a sampleJSON input(manually entered or loaded), the editor dynamically calculates and displays the resulting output. This allows for immediate verification of data transformation logic.
* Checks validity (B):The editor includes built-in linting and syntax validation. It alerts the developer to errors such as unclosed brackets, incorrect filter usage, or invalid syntax, ensuring that only valid Jinja code is saved into the playbook step.
* Loads environment JSON (D):One of the most significant features for troubleshooting is the ability toload the environment JSONfrom a recent execution. This populates the editor's variable context (vars) with the actual data from a specific playbook run, allowing the developer to test expressions against real-world data that recently passed through the system.
Why other options are incorrect:
* Creates new records in bulk (C):While Jinja expressions are used to format the data that goes into a record, the actual creation of records is handled by the"Create Record"step or specificConnectors, not by the Jinja editor utility itself.
* Defines conditions to trigger a playbook step (E):Jinja is thelanguageused to write conditions within a
"Decision" step or "Step Utilities," but the Jinja Editor is a tool forevaluating and testingthose expressions. The definition of the condition logic and the triggering behavior is a function of the Playbook Engine and Step configuration, not the editor's standalone capabilities.

60. Frage
Match the FortiSIEM device type to its description. Select each FortiSIEM device type in the left column, hold and drag it to the blank space next to its corresponding description in the column on the right.

Antwort:
Begründung:

* Collector2.Worker3.Supervisor4.Agent
* The FortiSIEM 7.3 architecture is built upon a distributed multi-tenant model consisting of several distinct functional roles to ensure scalability and performance:
* Supervisor:This is the primary management node in a FortiSIEM cluster. It hosts the Graphical User Interface (GUI), the Configuration Management Database (CMDB), and manages the overall system configurations, reporting, and dashboarding.
* Worker:These nodes are responsible for the heavy lifting of data processing. They execute real- time event correlation against the rules engine, perform historical search queries, and handle the analytics workload to ensure the Supervisor node is not overwhelmed.
* Collector:Collectors are typically deployed at remote sites or different network segments to offload log collection from the central cluster. They receive logs via Syslog, SNMP, or WMI, compress the data, and securely forward it to the Workers or Supervisor. They also perform performance monitoring of local devices.
* Agent:These are lightweight software components installed directly on endpoints (Windows
/Linux). Their primary role is to collect local endpoint logs, monitor file integrity (system changes), and track user activity that cannot be captured via traditional network-based logging.

61. Frage
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. DNS tunneling is being used to extract confidential data from the local network.
  • C. Spearphishing is being used to elicit sensitive information.
  • D. Reconnaissance is being used to gather victim identity information from the mail server.
Antwort: B
Begründung:
* 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.
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.

62. Frage
Using the default data ingestion wizard in FortiSOAR, place the incident handling workflow from FortiSIEM to FortiSOAR in the correct sequence. Select each workflow component in the left column, hold and drag it to a blank position in the column on the right. Place the four correct workflow components in order, placing the first step in the first position at the top of the column.

Antwort:
Begründung:

Explanation:
1.FortiSIEM incident2.FortiSOAR alert3.FortiSOAR indicator4.FortiSOAR incident In the standard integration betweenFortiSIEM 7.3andFortiSOAR 7.6, the data ingestion wizard follows a specific object mapping hierarchy to ensure that high-fidelity security events are managed correctly.
* Step 1: FortiSIEM incident:The workflow begins in FortiSIEM. When a correlation rule triggers, it generates anIncident(not just a raw log). The FortiSOAR connector polls the FortiSIEM API specifically for these incident records.
* Step 2: FortiSOAR alert:By default, ingested FortiSIEM incidents are mapped to theAlertsmodule in FortiSOAR. This serves as a "triage" layer where automated playbooks can perform initial analysis before a human determines if it warrants a full-scale investigation.
* Step 3: FortiSOAR indicator:As the alert is processed (either during ingestion or immediately after), the playbook extracts technical artifacts (IPs, hashes, URLs) and createsIndicatorrecords. This allows for automated threat intelligence lookups and cross-referencing against other alerts.
* Step 4: FortiSOAR incident:If the alert is validated (either through automated playbook scoring or manual analyst review), it is promoted to aFortiSOAR Incident. This represents a confirmed security issue that requires formal tracking, remediation, and reporting.

63. Frage
......
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