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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Detection Capabilities | 25% | - Data normalization and aggregation - FortiSIEM rule configuration and alert management - Threat detection and visibility design - Log analysis, query building and event correlation |
| Topic 2: SOAR Playbook Development and Automation | 30% | - Data transformation and Jinja filters - Connector configuration and integration - Playbook design, development and debugging - Troubleshooting automation workflows |
| Topic 3: SOAR Incident Handling and Threat Hunting | 25% | - Incident lifecycle management in FortiSOAR - Threat hunting methodologies and data usage - SOC workflow, queues and shift management - Collaborative response and war room features |
| Topic 4: SOC Concepts and Frameworks | 20% | - Integration of FortiSIEM and FortiSOAR with Security Fabric - Fortinet SOC enterprise architecture - Security incident analysis and adversary behavior identification - Industry frameworks (MITRE ATT&CK, NIST) |
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NEW QUESTION # 67
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.
Answer:
Explanation:
* Collector 2. Worker 3. Supervisor 4. 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.
NEW QUESTION # 68
Which two statements accurately describe the Custom API Endpoint playbook trigger? Choose two answers.
Answer: A,B
Explanation:
Exact Extract: "Custom API Endpoint: Specify an arbitrary endpoint used to externally start a playbook. Uses a REST API POST action from another system. Supports token-based, basic, and no authentication." The correct answers are A and D. A Custom API Endpoint trigger allows an external system to start a FortiSOAR playbook through a defined arbitrary endpoint. It supports token-based authentication, basic authentication, or no authentication, depending on how you configure the trigger. C is wrong because the guide specifies REST API POST, not GET and PUT. B is not supported by the described trigger behavior; the endpoint is configured as a trigger for a playbook, not as a broadcast mechanism to trigger multiple playbooks simultaneously.
Technical Deep Dive: This trigger is useful when an external system cannot use a native FortiSOAR connector but can make an HTTP API call. Common use cases include webhook-style ingestion, third- party alert forwarding, and external workflow integration. Secure it properly; "no authentication" is possible but usually unacceptable in production unless protected by network controls.
NEW QUESTION # 69
What are three capabilities of the built-in FortiSOAR Jinja editor? (Choose three answers)
Answer: A,B,D
Explanation:
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.
NEW QUESTION # 70
Which three factors does the FortiSIEM rules engine use to determine the count when it evaluates the aggregate condition COUNT (Matched Events) on a specific subpattern? (Choose three answers)
Answer: A,D,E
Explanation:
The FortiSIEM rules engine evaluates subpatterns to detect complex attack behaviors. When a rule uses an aggregate condition like COUNT (Matched Events) , the engine calculates this value based on specific architectural parameters:
* Group By attributes (A): The engine maintains a separate counter for each unique combination of " Group By " attributes defined in the subpattern. For example, if you group by " Source IP, " the engine tracks the count of events for each unique IP address independently.
* Time window (C): The count is relative to a specific time duration (e.g., 5 minutes). The engine only counts events that fall within this sliding or fixed window. Once an event falls outside this window, it is no longer included in the aggregate count.
* Search filter (D): Only events that satisfy the specific " Search Filter " criteria (e.g., Event Type = " Failed Login " ) are considered " Matched Events. " The filter defines the scope of the data that the rules engine processes before applying the count.
Why other options are incorrect:
* Data source (B): While the data source determines where the logs come from, the rules engine itself uses the parsed attributes (defined in the search filter) rather than the raw data source to determine the count. Multiple data sources might contribute to the same filter and count.
* Incident action (E): Incident actions (such as sending an email or triggering a SOAR playbook) are the result of a rule firing. They do not influence the internal logic or calculation of the event count during the evaluation phase.
NEW QUESTION # 71
Review the incident report:
Packet captures show a host maintaining periodic TLS sessions that imitate normal HTTPS traffic but run on TCP 8443 to a single external host. An analyst flags the traffic as potential command-and-control. During the same period, the host issues frequent DNS queries with oversized TXT payloads to an attacker-controlled domain, transferring staged files.
Which two MITRE ATT&CK techniques best describe this activity? (Choose two answers)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
In accordance with the MITRE ATT&CK mapping utilized byFortiSIEM 7.3andFortiSOAR 7.6, the described behaviors correspond to the following techniques:
* Non-Standard Port (T1571):This technique involves adversaries communicating using a protocol and port pairing that are typically not associated. The incident report identifies HTTPS (TLS) traffic running onTCP 8443rather than the standard port 443.FortiSIEMspecifically includes built-in correlation rules, such as "Suspicious Typical Malware Back Connect Ports," designed to detect these protocol-port mismatches.
* Exfiltration Over Alternative Protocol (T1048):This technique describes adversaries stealing data by exfiltrating it over a different protocol than the primary command and control (C2) channel. In this scenario, while the C2 channel is established via HTTPS on port 8443, the adversary is transferring staged files usingDNS queries with oversized TXT payloads. DNS is a common "alternative protocol" used to bypass standard data transfer monitoring and egress filtering.
Analysis of Incorrect Options:
* Exploitation of Remote Services (B):This technique falls underInitial AccessorLateral Movementtactics, focusing on gaining entry into a system via vulnerabilities in network services like SMB or RDP. It does not apply to the maintenance of an established C2 channel or the exfiltration of data.
* Hide Artifacts (D):This is aDefense Evasiontechnique where an adversary attempts to conceal their presence by removing traces such as log files or registry keys. While the attacker is "imitating normal traffic," the specific acts of using a non-standard port and DNS exfiltration are primary behavioral signatures defined by their own more specific techniques.
NEW QUESTION # 72
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