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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SOC Concepts and Frameworks | 20% | - Integration of FortiSIEM and FortiSOAR with Security Fabric - Fortinet SOC enterprise architecture - Industry frameworks (MITRE ATT&CK, NIST) - Security incident analysis and adversary behavior identification |
| Topic 2: Detection Capabilities | 25% | - Log analysis, query building and event correlation - Threat detection and visibility design - FortiSIEM rule configuration and alert management - Data normalization and aggregation |
| Topic 3: SOAR Incident Handling and Threat Hunting | 25% | - Collaborative response and war room features - Incident lifecycle management in FortiSOAR - SOC workflow, queues and shift management - Threat hunting methodologies and data usage |
| Topic 4: SOAR Playbook Development and Automation | 30% | - Playbook design, development and debugging - Data transformation and Jinja filters - Connector configuration and integration - Troubleshooting automation workflows |
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NEW QUESTION # 89
What are three capabilities of the built-in FortiSOAR Jinja editor? (Choose three answers)
Answer: C,D,E
Explanation:
The built-in Jinja editor in FortiSOAR 7.6 is 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 a Jinja expression with a sample JSON 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 to load the environment JSON from 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 specific Connectors
, not by the Jinja editor utility itself.
* Defines conditions to trigger a playbook step (E): Jinja is the language used to write conditions within a " Decision " step or " Step Utilities, " but the Jinja Editor is a tool for evaluating and testing those 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.
NEW QUESTION # 90
Refer to the Exhibit:
An analyst wants to create an incident and generate a report whenever FortiAnalyzer generates a malicious attachment event based on FortiSandbox analysis. The endpoint hosts are protected by FortiClient EMS integrated with FortiSandbox. All devices are logging to FortiAnalyzer.
Which connector must the analyst use in this playbook?
Answer: D
Explanation:
* Understanding the Requirements:
* The objective is to create an incident and generate a report based on malicious attachment events detected by FortiAnalyzer from FortiSandbox analysis.
* The endpoint hosts are protected by FortiClient EMS, which is integrated with FortiSandbox. All logs are sent to FortiAnalyzer.
* Key Components:
* FortiAnalyzer: Centralized logging and analysis for Fortinet devices.
* FortiSandbox: Advanced threat protection system that analyzes suspicious files and URLs.
* FortiClient EMS: Endpoint management system that integrates with FortiSandbox for endpoint protection.
* Playbook Analysis:
* The playbook in the exhibit consists of three main actions: GET_EVENTS, RUN_REPORT, and CREATE_INCIDENT.
* EVENT_TRIGGER: Starts the playbook when an event occurs.
* GET_EVENTS: Fetches relevant events.
* RUN_REPORT: Generates a report based on the events.
* CREATE_INCIDENT: Creates an incident in the incident management system.
* Selecting the Correct Connector:
* The correct connector should allow fetching events related to malicious attachments analyzed by FortiSandbox and facilitate integration with FortiAnalyzer.
* Connector Options:
* FortiSandbox Connector:
* Directly integrates with FortiSandbox to fetch analysis results and events related to malicious attachments.
* Best suited for getting detailed sandbox analysis results.
* Selected as it is directly related to the requirement of handling FortiSandbox analysis events.
* FortiClient EMS Connector:
* Used for managing endpoint security and integrating with endpoint logs.
* Not directly related to fetching sandbox analysis events.
* Not selected as it is not directly related to the sandbox analysis events.
* FortiMail Connector:
* Used for email security and handling email-related logs and events.
* Not applicable for sandbox analysis events.
* Not selected as it does not relate to the sandbox analysis.
* Local Connector:
* Handles local events within FortiAnalyzer itself.
* Might not be specific enough for fetching detailed sandbox analysis results.
* Not selected as it may not provide the required integration with FortiSandbox.
* Implementation Steps:
* Step 1: Ensure FortiSandbox is configured to send analysis results to FortiAnalyzer.
* Step 2: Use the FortiSandbox connector in the playbook to fetch events related to malicious attachments.
* Step 3: Configure the GET_EVENTS action to use the FortiSandbox connector.
* Step 4: Set up the RUN_REPORT and CREATE_INCIDENT actions based on the fetched events.
Fortinet Documentation on FortiSandbox Integration FortiSandbox Integration Guide Fortinet Documentation on FortiAnalyzer Event Handling FortiAnalyzer Administration Guide By using the FortiSandbox connector, the analyst can ensure that the playbook accurately fetches events based on FortiSandbox analysis and generates the required incident and report.
NEW QUESTION # 91
Refer to the exhibit.
You configured a playbook named False Positive Close , and want to run it to verify if it works. However, when you click Execute and search for the playbook, you do not see it listed. Which two reasons could be the cause of the problem? (Choose two answers)
Answer: A,C
Explanation:
In FortiSOAR 7.6 , manual playbooks appear in the Execute menu of a record only if they meet specific configuration criteria defined in the Manual Trigger step:
* Module Scope (C): When creating a playbook with a manual trigger, the administrator must explicitly select which modules (e.g., Alerts, Incidents, Indicators) can execute the playbook. If the Alerts module is not selected in the " Applicable Modules " section of the trigger configuration, the playbook will remain hidden from the Execute menu when an analyst is viewing the Alerts module.
* Trigger Execution Requirements (D): Manual triggers can be configured to execute on no records , a single record , or multiple records . If a playbook is configured with the " Requires record input to run
" setting but is specifically restricted to a different input type (or if there is a mismatch in the selection logic), it will not appear in the menu unless the correct number of records are selected. Furthermore, if a playbook is designed to run only when no record is selected (global utility), it will not show up in the context-sensitive menu of a specific record.
Why other options are incorrect:
* Publishing (A): FortiSOAR playbooks do not require a separate " publishing " step via an Application Editor to become visible. Once they are saved and active (toggled on), they are immediately available for use based on their trigger settings.
* Concurrent Execution (B): FortiSOAR allows multiple instances of the same playbook to run simultaneously. An active execution of a playbook does not hide it from the menu for other analysts or subsequent runs.
NEW QUESTION # 92
Refer to the exhibit.
A compromised PC establishes an SSH connection to an engineering build server, which then relays HTTPS traffic to reach servers that would otherwise have blocked access from the LAN. Which technique is used for this attack?
Answer: C
Explanation:
Exact Extract: "Next, they will use SSH tunneling to bypass firewall rules that prevent LAN devices from accessing some devices in the SOC network. They will be able to gain access to crucial network infrastructure." The correct answer is D. Protocol tunneling . The exhibit shows the compromised PC using SSH to connect to a permitted intermediary system-the engineering build server-and then using that path to relay HTTPS traffic toward internal servers that the LAN host could not normally access directly. That is tunneling: one protocol or traffic flow is encapsulated or relayed through another allowed channel to bypass segmentation or firewall policy.
A is wrong because port knocking is a stealth access-control mechanism where a sequence of connection attempts opens a port. B is wrong because the exhibit is about reaching internal servers, not stealing data through an established C2 channel. C is wrong because there is no interception or manipulation of traffic between two victims; the build server is being used as a pivot/tunnel.
Technical Deep Dive: In MITRE terms, this behavior aligns with tunneling/proxy-style defense evasion and lateral movement support. In real operations, an attacker may use SSH local forwarding, remote forwarding, or dynamic SOCKS proxying, for example ssh -L 8443:internal-server:443 user@build- server or ssh -D 1080 user@build-server. From a Fortinet SOC perspective, FortiSIEM should flag unusual SSH sessions from workstations to build servers, followed by unexpected HTTPS connections from the build server to protected server zones. FortiGate NP/CP offload may accelerate allowed sessions, but the detection value comes from log correlation and segmentation policy violations, not ASIC behavior.
NEW QUESTION # 93
Which three end user logs does FortiAnalyzer use to identify possible IOC compromised hosts? (Choose three answers)
Answer: B,C,E
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):DNS 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 # 94
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