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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Detection Capabilities | 25% | - Log analysis, query building and event correlation - Data normalization and aggregation - FortiSIEM rule configuration and alert management - Threat detection and visibility design |
| Topic 2: SOAR Incident Handling and Threat Hunting | 25% | - Threat hunting methodologies and data usage - Collaborative response and war room features - Incident lifecycle management in FortiSOAR - SOC workflow, queues and shift management |
| Topic 3: SOC Concepts and Frameworks | 20% | - Integration of FortiSIEM and FortiSOAR with Security Fabric - Industry frameworks (MITRE ATT&CK, NIST) - Security incident analysis and adversary behavior identification - Fortinet SOC enterprise architecture |
| Topic 4: SOAR Playbook Development and Automation | 30% | - Playbook design, development and debugging - Connector configuration and integration - Troubleshooting automation workflows - Data transformation and Jinja filters |
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NEW QUESTION # 90
Which two phases are part of the FortiSOAR incident handling process but are not phases in the NIST 800-61 Revision 2 model? Choose two answers.
Answer: B,C
Explanation:
Exact Extract: "FortiSOAR assumes the Preparation phase is outside its incident handling scope because it is considered a pre-SOAR responsibility." Exact Extract: "In FortiSOAR, the Detection and Analysis phases are expanded into Detection, Identification, and Confirmation... In the Identification phase, analysts can evaluate the alerts tied to the incident, understand the context, and enrich indicators. In the Confirmation phase, an analyst can confirm whether the incident is a true positive or a false positive." The correct answers are B and D . NIST 800-61 Revision 2 uses broader incident handling phases, including Preparation , Detection and Analysis , Containment , Eradication , Recovery , and Post-Incident Activity
. FortiSOAR modifies that model by treating Preparation as outside SOAR scope and splitting NIST's Detection and Analysis into more operationally useful FortiSOAR phases: Detection , Identification , and Confirmation . Therefore, Identification and Confirmation are FortiSOAR-specific phase names that are not standalone NIST phases.
A is wrong because Preparation is a NIST phase, but FortiSOAR excludes it from its incident handling workflow. C is not the best answer because Detection is part of NIST's combined Detection and Analysis phase and is also present in FortiSOAR.
Technical Deep Dive: FortiSOAR's split is practical. Detection is when the alert or incident enters FortiSOAR. Identification is where analysts enrich, contextualize, and scope the issue. Confirmation is the decision point where the incident is validated as true positive or false positive. This granularity improves playbook design because different automation belongs in each phase. FortiGate NP/CP offloading has no relevance here because this is incident lifecycle modeling, not traffic processing.
NEW QUESTION # 91
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: D
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 # 92
When you use a loop to iterate through a list of items in a FortiSOAR playbook, what is the correct Jinja expression to reference the variable in each iteration?
Answer: B
Explanation:
The correct answer is B. FortiSOAR supports iterative execution through the Loop step utility, including For Each and Do Until operations.
The For Each loop processes an array of objects, executing the configured playbook step separately for each object.
According to the study guide, the reserved keyword item references the current object being processed by the loop. Therefore, the correct Jinja expression is {{ vars.item. < variable_name > }}.
For example, when looping through an array of alert objects, {{ vars.item.name }} retrieves the name attribute from the current alert.
The vars.input.params expression references playbook input parameters rather than the current loop object.
Similarly, globalVars references global variables, while vars.steps is associated with playbook step outputs.
Neither directly identifies the current iteration object.
Reference: SOC Playbook Development, page 181.
NEW QUESTION # 93
Refer to the exhibits.
The DOS attack playbook is configured to create an incident when an event handler generates a denial-of-ser
/ice (DoS) attack event.
Why did the DOS attack playbook fail to execute?
Answer: B
Explanation:
Understanding the Playbook and its Components:
The exhibit shows the status of a playbook named " DOS attack " and its associated tasks.
The playbook is designed to execute a series of tasks upon detecting a DoS attack event.
Analysis of Playbook Tasks:
Attach_Data_To_Incident: Task ID placeholder_8fab0102, status is " upstream_failed, " meaning it did not execute properly due to a previous task ' s failure.
Get Events: Task ID placeholder_fa2a573c, status is " success. "
Create SMTP Enumeration incident: Task ID placeholder_3db75c0a, status is " failed. " Reviewing Raw Logs:
The error log shows a ValueError: invalid literal for int() with base 10: ' 10.200.200.100 ' .
This error indicates that the task attempted to convert a string (the IP address ' 10.200.200.100 ' ) to an integer, which is not possible.
Identifying the Source of the Error:
The error occurs in the file " incident_operator.py, " specifically in the execute method.
This suggests that the task " Create SMTP Enumeration incident " is the one causing the issue because it failed to process the data type correctly.
Conclusion:
The failure of the playbook is due to the " Create SMTP Enumeration incident " task receiving a string value (an IP address) when it expects an integer value. This mismatch in data types leads to the error.
References:
Fortinet Documentation on Playbook and Task Configuration.
Python error handling documentation for understanding ValueError.
NEW QUESTION # 94
Review the incident report:
An attacker identified employee names, roles, and email patterns from public press releases, which were then used to craft tailored emails.
The emails were directed to recipients to review an attached agenda using a link hosted off the corporate domain.
Which two MITRE ATT & CK tactics best fit this report? (Choose two answers)
Answer: C,D
Explanation:
Based on the official documentation for FortiSIEM 7.3 (which utilizes the MITRE ATT & CK mapping for incident correlation) and FortiSOAR 7.6 (which uses these tactics for incident classification and playbook triggering):
Reconnaissance (Tactic TA0043): This tactic consists of techniques that involve adversaries actively or passively gathering information that can be used to support targeting. In this scenario, the attacker identifies " employee names, roles, and email patterns from public press releases. " This is categorized under Gather Victim Org Information (T1591) and Search Open Technical Databases (T1596). Since this activity happens prior to the compromise and involves gathering intelligence, it is strictly Reconnaissance.
Initial Access (Tactic TA0001): This tactic covers techniques that use various entry vectors to gain an initial foothold within a network. The act of sending " tailored emails... to recipients to review an attached agenda using a link " is the definition of Phishing: Spearphishing Link (T1566.002). This is the specific delivery mechanism used to gain the initial entry.
Why other options are incorrect:
Discovery (B): This tactic involves techniques an adversary uses to gain knowledge about the internal network after they have already gained access. Since the attacker is looking at public press releases, they are operating outside the perimeter.
Defense Evasion (D): This tactic consists of techniques that adversaries use to avoid detection throughout their compromise. While using an external link might bypass some basic reputation filters, the primary goal described in the report is the act of establishing contact and access, which is the core of the Initial Access tactic.
NEW QUESTION # 95
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