Fortinet NSE7_SOC_AR-7.6 Exam With Confidence Using Practice Dumps

In FortiSOAR 7.6, the War Room is a collaborative space designed for high-priority incident investigation. The Evidences tab within the Investigate view (as shown in the exhibit) is specifically designed to highlight critical findings found during the investigation process.

Evidence Tagging: To populate the Action Logs Marked As Evidence section, an analyst must specifically tag a relevant log entry, a playbook output, or a comment within the collaboration workspace with the system-defined keyword " Evidence " .

Automatic Categorization: Once the tag is applied, FortiSOAR automatically parses these entries and displays them in this centralized view. This allows team members and stakeholders to quickly view substantiated facts and proof gathered during the " Root Cause Analysis " phase without sifting through all raw action logs.

Manual vs. Action Logs: The exhibit shows two distinct areas: " Manually Upload Evidences " (where files like the CSLAB document shown can be dragged and dropped) and " Action Logs Marked As Evidence. " The latter is reserved exclusively for system-generated logs or comments that have been promoted to evidence status via tagging.

Why other options are incorrect:

By linking an indicator to the war room (B): Linking indicators associates technical artifacts (like IPs or hashes) with the record, but it does not automatically classify them as evidence within the War Room action log view.

By creating an evidence collection task and attaching a file (C): While this is a valid step in an investigation, attaching a file to a task typically places it in the " Attachments " or " Manually Upload Evidences " area, rather than the " Action Logs " section specifically.

By executing a playbook with the Save Execution Logs option enabled (D): Saving execution logs ensures a trail of what the playbook did, but it does not mark the output as " Evidence " unless the specific logic or a manual analyst action applies the " Evidence " tag to the resulting log entry.

Exact Extract: “Campaigns are an extra layer of abstraction used when multiple incidents are tied to a single threat actor. Seemingly unrelated incidents may all be part of the same campaign against an organization.”

Exact Extract: “It can be difficult to determine if incidents are related and roll them into a campaign. Typically, the link between related incidents is based on uniquely identifiable information that ties a single, known threat actor to multiple incidents.”

The correct answer is D. In FortiSOAR, a campaign is the proper object for grouping multiple incidents that appear to be connected to the same threat actor. This lets the SOC track the broader adversary activity without collapsing separate incidents into one record. A tag may help with searching, but it is weak compared with a campaign record because it does not provide the same structured tracking layer. Merging incidents is also wrong because it combines records rather than preserving multiple related incidents under a higher-level campaign. Marking one incident as a parent and closing child incidents is operationally dangerous and does not represent the campaign concept.

Technical Deep Dive: Campaign tracking is useful when separate incidents share threat actor indicators, malware family, infrastructure, TTPs, phishing themes, command-and-control patterns, or MITRE ATT & CK mappings. In a mature FortiSOAR workflow, analysts link related incidents, alerts, indicators, malware samples, tasks, and reports to the campaign record. This gives threat intelligence and incident response teams a single place to track scope, timeline, attribution confidence, containment progress, and lessons learned. FortiGate NP/CP offloading is irrelevant here because this is FortiSOAR case-management and threat-intelligence correlation, not firewall packet processing.

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.