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Title: Reliable NSE7_SOC_AR-7.6 Braindumps Questions - NSE7_SOC_AR-7.6 Valid Test Testk
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Fortinet NSE 7 - Security Operations 7.6 Architect Sample Questions (Q40-Q45):NEW QUESTION # 40
Refer to the exhibits.

How is the investigation and remediation output generated on FortiSIEM? (Choose one answer)
Answer: B
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSIEM 7.3, a key innovation is the integration ofFortiAI, which provides generative AI capabilities to assist SOC analysts during the triage and response process.
* Generative AI Summary:When an incident occurs, FortiAI can automatically analyze the underlying logs, correlation logic, and MITRE ATT&CK techniques (such as "Exfiltration Over Alternative Protocol" shown in the exhibit) to generate a human-readable summary.
* Structured Output:The output displayed in the exhibit-specifically the categorizedInvestigation Actions (identifying affected systems, analyzing traffic) andRemediation Actions(immediate containment, patching, user training)-is the typical result of a FortiAI summary request.
* Analyst Efficiency:This feature is designed to reduce the "mean time to respond" (MTTR) by providing analysts with immediate, actionable steps without requiring them to manually piece together the recommended response plan from static documentation or disparate log views.
Why other options are incorrect:
* Exporting an incident (A):Exporting an incident typically results in a raw data file (CSV/JSON/PDF) containing the log data and metadata, rather than an AI-generated strategic plan for investigation and remediation.
* Running an incident report (B):Standard incident reports provide statistical and historical data about incidents over time. They do not dynamically generate specific, numbered investigation steps tailored to the unique context of a single live incident.
* Context tab (D):The Context tab in FortiSIEM is primarily used to view theCMDBinformation of the involved assets (e.g., host details, owner, location) and related historical events. While it provides thedataneeded for an investigation, it does not provide thelist of actionsto take.

NEW QUESTION # 41
Based on the Pyramid of Pain model, which two statements accurately describe the value of an indicator and how difficult it is for an adversary to change? (Choose two answers)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
ThePyramid of Pain(David Bianco) is a core concept taught inFortiSIEM 7.3andFortiSOAR 7.6curriculum to help SOC analysts prioritize threat intelligence and detection logic. The model ranks indicators based on the
"pain" or effort they cause an adversary to change:
* IP Addresses (Easy):These are classified as "Easy" to change. An attacker can simply rotate through a proxy service, use a different VPS, or utilize a new compromised host to continue their campaign.
While more valuable than a file hash, they provide relatively low-long term value to the defender because they are so ephemeral.
* TTPs (Tough/Hard):This is the apex of the pyramid. TTPs (Tactics, Techniques, and Procedures) represent the fundamental way an adversary operates. If a defender successfully detects and blocks a Tactic (e.g., a specific way an attacker performs privilege escalation), the adversary is forced to reinvent their entire operational process, which is time-consuming and difficult.
Why other options are incorrect:
* Artifacts (C):According to the pyramid, Network/Host Artifacts are classified as"Annoying", not
"Easy". While an attacker can change them, it requires modifying their code or script behavior, which causes more friction than simply switching an IP address.
* Tools (D):Tools are classified as"Challenging". While alternatives exist, an adversary usually invests significant time mastering a specific toolset; losing the ability to use that tool effectively disrupts their efficiency significantly.

NEW QUESTION # 42
Which three statements accurately describe step utilities in a playbook step? (Choose three answers)
Answer: A,D,E
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSOAR 7.6, step utilities are advanced configurations applied to individual playbook steps to control logic, timing, and data processing. According to the Playbook Engine architecture:
* Timeout (A):TheTimeoututility allows an administrator to define a maximum duration for a step to complete. If the step does not finish within this designated window, the playbook engine terminates the step and the overall playbook execution to prevent hung processes and resource exhaustion.
* Loop (B):TheLooputility is used for iterative processing (e.g., performing a lookup for every IP in a list). A playbook step can only containone Loop utility configuration. If multiple iterations are required across different data sets, they must be handled in separate steps or nested child playbooks.
* Condition (D):TheConditionutility (Decision Step logic) behaves differently when aLoopis present. If there is no loop, the condition determines if the step executes once. If a loop is present, the condition is evaluated foreach itemin the loop, effectively acting as a filter for which iterations proceed.
Why other options are incorrect:
* Variables (C):TheVariablesutility (Set Variable) is used to define new custom variables within the scope of that step for later use. It does not "store the output of the step directly in the step itself"; step outputs are automatically stored in the vars.steps.<step_name> object by the engine regardless of the utility used.
* Mock Output (E):TheMock Outpututility is used for testing and development to simulate successful data returns without actually executing a connector. It usesJSON format, not HTML, to ensure the simulated data structure matches what the playbook engine expects for downstream Jinja processing.

NEW QUESTION # 43
Which three end user logs does FortiAnalyzer use to identify possible IOC compromised hosts? (Choose three answers)
Answer: A,B,D
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
In the context of the Fortinet Security Fabric,FortiAnalyzerperforms Indicator of Compromise (IOC) detection by correlating various security logs against a threat intelligence database.3The IOC engine specifically analyzes the following logs of each end user to identify potentially compromised hosts:
* Web Filter Logs (A):The engine parses web filtering logs to identify access attempts to blacklisted URLs, malicious domains, or IPs associated with known malware distribution sites.4If a match is found in the threat database, the host is flagged as compromised.
* DNS Filter Logs (C)NS requests are a primary indicator of a compromise. The engine monitors these logs for queries directed at known Command and Control (C2) servers or domains generated by Domain Generation Algorithms (DGA).5
* IPS Logs (E):Intrusion Prevention System (IPS) logs provide critical data on signature matches for known attacks. In newer Security Operations (SOC) curricula, IPS logs are used alongside Web and DNS logs to provide a high-fidelity assessment of whether a host is currently infected and attempting to communicate with an external threat actor.
Why other options are incorrect:
* Email Filter Logs (B):While important for detecting phishing attempts (Initial Access), email logs are generally used for content filtering and antispam rather than being a primary source for the IOC engine's behavioral "calling home" detection in the FortiAnalyzer Compromised Hosts view.
* Application Filter Logs (D):Application control logs provide visibility into software usage but are less commonly used by the core IOC engine for identifying blacklisted network destinations compared to Web and DNS filtering.

NEW QUESTION # 44
Refer to the exhibits.

What can you conclude from analyzing the data using the threat hunting module?
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.
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 # 45
......
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