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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SOAR Incident Handling and Threat Hunting | 25% | - SOC workflow, queues and shift management - Threat hunting methodologies and data usage - Incident lifecycle management in FortiSOAR - Collaborative response and war room features |
| Topic 2: SOAR Playbook Development and Automation | 30% | - Data transformation and Jinja filters - Troubleshooting automation workflows - Connector configuration and integration - Playbook design, development and debugging |
| Topic 3: Detection Capabilities | 25% | - Threat detection and visibility design - Log analysis, query building and event correlation - FortiSIEM rule configuration and alert management - Data normalization and aggregation |
| Topic 4: SOC Concepts and Frameworks | 20% | - Security incident analysis and adversary behavior identification - Fortinet SOC enterprise architecture - Industry frameworks (MITRE ATT&CK, NIST) - Integration of FortiSIEM and FortiSOAR with Security Fabric |
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NEW QUESTION # 69
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: B,D
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 # 70
Refer to the exhibit.
You are trying to find traffic flows to destinations that are in Europe or Asia, for hosts in the local LAN segment. However, the query returns no results. Assume these logs exist on FortiSIEM.
Which three mistakes can you see in the query shown in the exhibit? (Choose three answers)
Answer: A,B,E
Explanation:
Analyzing the Query Configuration exhibit in the context of FortiSIEM 7.3 search logic reveals several syntax and logical errors that prevent the query from returning results:
* Logical Operator Error (E): The user intends to find traffic to Europe OR Asia. In the exhibit, the first row (Group: Europe) is followed by a default AND operator. This forces the query to look for a single flow where the destination is simultaneously in Europe and Asia, which is logically impossible.
It must be changed to OR .
* Missing Parentheses (C): When combining OR and AND logic in FortiSIEM, parentheses are required to define the order of operations. Without them, the query might evaluate " Asia AND Destination Country IS NOT null AND Source IP IN... " first. To correctly find (Europe OR Asia) that also matches the LAN segment, parentheses must group the first two rows.
* Incorrect Operator for IP Range (D): The exhibit uses the IN operator for the value 10.0.0.0,
10.200.200.254. In FortiSIEM, the IN operator is used for a comma-separated list of specific values or CMDB groups. To specify a continuous range of IP addresses (the " LAN segment " ), the BETWEEN operator must be used.
Why other options are incorrect:
* IS NOT null (A): In FortiSIEM, " IS NOT null " is a valid operator/value combination used to ensure a specific attribute has been successfully parsed and populated in the event record.
* Time Range (B): There is no requirement for a time range to be " Absolute " when using CMDB groups; " Relative " time ranges (like the " Last 30 Days " shown) are commonly used and fully supported for such queries.
SOC Concepts and Frameworks
NEW QUESTION # 71
You are trying to create a playbook that uses source data from ingestion to populate the description field of a task. You successfully saved the source data to a variable called ingestion_data . Now, you must parse the results and extract a list of indicators. Which Jinja expression can accomplish this task? Choose one answer.
Answer: C
Explanation:
Exact Extract: "After retrieving output from your search query, you should save it to a variable so that you can filter or modify the data as required." The guide then shows Jinja being used to extract selected data from stored output: {{ vars.steps.Advanced_Search_Query.data.events | json_query( ' [].attributes.destGeoCountry ' ) | unique }}.
Exact Extract: "You can assign specific fields from your connector action output to their own variables and further manipulate the data using Jinja filters. This approach allows you to efficiently extract, clean, and prepare information for use in later steps of your automation." The correct answer is D because extract_artifacts is the FortiSOAR Jinja filter intended to parse unstructured or semi-structured text/data and extract observables/artifacts such as IP addresses, domains, URLs, email addresses, hashes, and similar indicator values. In this question, the source ingestion data has already been saved into vars.ingestion_data; the next requirement is not merely to format it or debug it, but to extract indicators from it. Option A only works if ingestion_data is already a structured list containing objects with type == " IOC " ; it does not generally parse raw ingestion data. Option B is badly chained and unreliable because each filter would transform the previous result rather than produce one clean indicator list. Option C only returns the data type for troubleshooting.
Technical Deep Dive: In FortiSOAR playbooks, Jinja filters are commonly used inside Set Variable steps, task descriptions, connector parameters, and decision logic. Use json_query when the data is already structured JSON and you know the exact path. Use extract_artifacts when you need FortiSOAR to scan the content and pull out indicator-like values. This is SOAR automation-layer parsing; FortiGate NP/CP acceleration has no role because no packet inspection or ASIC forwarding is occurring.
NEW QUESTION # 72
A customer wants FortiAnalyzer to run an automation stitch that executes a CLI command on FortiGate to block a predefined list of URLs, if a botnet command-and-control (C&C) server IP is detected.
Which FortiAnalyzer feature must you use to start this automation process?
Answer: B
Explanation:
* Understanding Automation Processes in FortiAnalyzer:
* FortiAnalyzer can automate responses to detected security events, such as running commands on FortiGate devices.
* Analyzing the Customer Requirement:
* The customer wants to run a CLI command on FortiGate to block predefined URLs when a botnet C&C server IP is detected.
* This requires an automated response triggered by a specific event.
* Evaluating the Options:
* Option A:Playbooks orchestrate complex workflows but are not typically used for direct event- triggered automation processes.
* Option B:Data selectors filter logs based on criteria but do not initiate automation processes.
* Option C:Event handlers can be configured to detect specific events (such as detecting a botnet C&C server IP) and trigger automation stitches to execute predefined actions.
* Option D:Connectors facilitate communication between FortiAnalyzer and other systems but are not the primary mechanism for initiating automation based on log events.
* Conclusion:
* To start the automation process when a botnet C&C server IP is detected, you must use anEvent handlerin FortiAnalyzer.
References:
Fortinet Documentation on Event Handlers and Automation Stitches in FortiAnalyzer.
Best Practices for Configuring Automated Responses in FortiAnalyzer.
NEW QUESTION # 73
Which three are threat hunting activities? (Choose three answers)
Answer: B,C,E
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
According to the specialized threat hunting modules and frameworks withinFortiSOAR 7.6and the advanced analytics capabilities ofFortiSIEM 7.3, threat hunting is defined as a proactive, human-led search for threats that have bypassed automated security controls. The three selected activities are core components of this lifecycle:
* Generate a hypothesis (C):This is the fundamental starting point of a "Structured Hunt." Analysts develop a testable theory-based on recent threat intelligence (such as a new TTP identified by FortiGuard) or environmental risk-about how an attacker might be operating undetected in the network.
* Enrich records with threat intelligence (A):During the investigation phase, hunters use theThreat Intelligence Management (TIM)module in FortiSOAR to enrich technical data (IPs, hashes, URLs) with external context. This helps determine if an anomaly discovered during the hunt is indeed malicious or part of a known campaign.
* Perform packet analysis (D):Since advanced threats often live in the "gaps" between log files, hunters frequently perform deep-packet or network-flow analysis using FortiSIEM's query tools or integrated NDR (Network Detection and Response) data to identify suspicious lateral movement or C2 (Command and Control) communication patterns that standard alerts might miss.
Why other options are excluded:
* Automate workflows (B):While SOAR is designed for automation, the act of "automating" is a DevOps or SOC engineering task. Threat hunting itself is a proactive investigation; while playbooks canassista hunter (e.g., by automating the data gathering), the act of hunting remains a manual or semi-automated cognitive process.
* Tune correlation rules (E):Tuning rules is areactivemaintenance task or a "post-hunt" activity. Once a threat hunter finds a new attack pattern, they will then tune SIEM correlation rules to ensure that specific threat is detected automatically in the future. The tuning is theresultof the hunt, not the activity of hunting itself.
NEW QUESTION # 74
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