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| Section | Weight | Objectives |
|---|---|---|
| SOC Concepts and Frameworks | 20% | - Industry frameworks (MITRE ATT&CK, NIST) - Fortinet SOC enterprise architecture - Security incident analysis and adversary behavior identification - Integration of FortiSIEM and FortiSOAR with Security Fabric |
| SOAR Incident Handling and Threat Hunting | 25% | - SOC workflow, queues and shift management - Collaborative response and war room features - Incident lifecycle management in FortiSOAR - Threat hunting methodologies and data usage |
| 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 |
| SOAR Playbook Development and Automation | 30% | - Troubleshooting automation workflows - Connector configuration and integration - Playbook design, development and debugging - Data transformation and Jinja filters |
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NEW QUESTION # 20
Refer to the exhibits.
You have a playbook that, depending on whether an analyst deems the alert to be a true positive, could reference a child playbook. You need to pass variables from the parent playbook to the child playbook.
Place the steps needed to accomplish this in the correct order.
Answer:
Explanation:
Explanation:
1. Create a parameter in the child playbook.
2. Apply the parameter to the Disable User Account connector action.
3. Map data to the parameter in the Reference a playbook step in the parent playbook.
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSOAR 7.6, the methodology for passing data between playbooks-specifically from a parent to a
"Referenced" (child) playbook-follows a strict data flow hierarchy:
* Step 1: Create a parameter in the child playbook.Before a parent can send data, the child playbook must be configured to receive it. This is done by adding "Input Parameters" in theStartstep of the child playbook (configured as a "Referenced" trigger). These parameters act as the "inbox" for external data.
* Step 2: Apply the parameter to the connector action.Once the child playbook has the parameter defined (e.g., user_id), you must use a Jinja expression like {{vars.input.params.user_id}} within the child's action steps (such as theActive Directory: Disable User Accountconnector) so that the child playbook actually utilizes the data it receives.
* Step 3: Map data to the parameter in the parent playbook.Finally, in the parent playbook, when you add theReference a Playbookstep and select the child playbook, FortiSOAR automatically displays the parameters created in Step 1. You then map existing variables from the parent's environment (e.g., from a previous "Search by SamAccountName" step) into these fields to complete the hand-off.
Why other options are excluded:
* Create a manual trigger and assign the user to a new variable:While manual triggers capture data, they are not the mechanism forpassingdata between nested playbooks; they are for user-to-system interaction.
* Create a parameter in the parent playbook:Parameters in a parent playbook are used to receive data fromoutside(like an external API or manual input), not to send datadownto a child. The child defines what it needs; the parent simply provides it in the Reference step.
NEW QUESTION # 21
When configuring an Ingest Bulk Feed playbook step, which two restrictions must you consider? Choose two answers.
Answer: C,D
Explanation:
Exact Extract: "Ingest Bulk Feed: Insert and update large volumes of records. Significantly faster than Create Record, but does not trigger On Create and On Update triggers. Only primary fields, tags, lookups, and picklists are supported." The correct answers are C and D . The Ingest Bulk Feed step is designed for high-volume ingestion, such as threat intelligence feeds, vulnerabilities, or asset imports. Its tradeoff is that it bypasses normal record-trigger behavior. Therefore, records inserted or updated through this step will not trigger playbooks configured with On Create or On Update triggers. That is a major design restriction because downstream automation that depends on those triggers will not run automatically.
A is wrong because the step can be driven by data prepared earlier in the playbook, including connector output transformed into the expected structure. B is the opposite of the guide: Ingest Bulk Feed is significantly faster than Create Record.
Technical Deep Dive: Use Create Record when you need full model behavior, uniqueness handling, trigger execution, and precise per-record workflow control. Use Ingest Bulk Feed when volume and speed matter more than trigger execution. A common mistake is bulk-ingesting indicators or assets and expecting On Create playbooks to fire for enrichment. They will not. You must either enrich before ingestion or run a separate scheduled/manual playbook afterward. NP/CP offloading is irrelevant; this is FortiSOAR database/workflow behavior.
NEW QUESTION # 22
Match the FortiSOAR architecture element to its description.
Select each FortiSOAR architecture element in the left column and drag and drop it into the blank space next to its corresponding description in the right column. After matching an element, you can move it again if you want to change your answer. You must match four elements with their descriptions in the work area.
Answer:
Explanation:
Explanation:
The correct sequence is Shared Tenancy, Secure Message Exchange, Distributed Tenancy, and Agent.
Shared Tenancy allows multiple tenants to operate within a single FortiSOAR instance while maintaining data separation through role-based access control.
Secure Message Exchange (SME) provides secure communication between master nodes, distributed tenant nodes, and agents. It can operate as an embedded service or a dedicated external deployment.
Distributed Tenancy provides each tenant with an independent FortiSOAR instance, including its own database and configuration. This architecture enables tenant-level control over sensitive information and automation execution.
FortiSOAR Agents extend automation into isolated or segmented networks. They communicate outbound through SME and execute connector actions remotely.
Hybrid Tenancy combines shared and distributed deployment models, while Worker is not the correct match for any description presented.
Reference: Fortinet SOC with FortiSIEM and FortiSOAR, pages 47-48.
NEW QUESTION # 23
Which two best practices should be followed when exporting playbooks in FortiAnalyzer? (Choose two answers)
Answer: C,D
Explanation:
According to the FortiAnalyzer 7.4 SOC Analyst official training material (Lesson 5: Automation) and supporting documentation for FortiSOAR 7.6 and FortiSIEM 7.3 integration, the following best practices are recommended for playbook portability:
Disable playbooks before exporting (A): When a playbook is exported, its current status (Enabled or Disabled) is preserved in the export file. If an Enabled playbook is imported into a destination ADOM where its trigger conditions are immediately met, it will start executing automatically. Disabling the playbook before export is a critical best practice to prevent unintended automated actions from occurring in the new environment before the analyst has had a chance to verify local configurations.
Include the associated connector settings (B): FortiAnalyzer allows you to include required connector configurations during the export process. By selecting this option, the exported file includes the necessary metadata and configurations for the connectors that the playbook relies on to execute its tasks. This ensures the playbook remains functional and portable across different FortiAnalyzer units or ADOMs without requiring the manual recreation of every connector.
Why other options are incorrect:
Move playbooks between ADOMs (C): There is no native " Move " function for automation playbooks between ADOMs in the same sense as moving a device. The standard supported workflow for transferring automation logic is the Export and Import process.
Ensure names do not exist in target (D): While maintaining unique names is good practice, it is not a required
" best practice " for the export process itself because FortiAnalyzer automatically handles name conflicts. If an imported playbook shares a name with an existing one, the system automatically appends a timestamp to the new playbook ' s name to avoid a conflict.
NEW QUESTION # 24
Refer to the exhibit. What is the correct Jinja expression to filter the results to show only the MD5 hash values?
{{ [slot 1] | [slot 2] [slot 3].[slot 4] }}
Select the Jinja expression in the left column, hold and drag it to a blank position on the right. Place the four correct steps in order, placing the first step in the first slot.
Answer:
Explanation:
Explanation:
Slot 1: data Slot 2: json_query Slot 3: ( " results[?type== ' FileHash-MD5 ' ] " ) Slot 4: value Final Expression: {{ vars.artifacts.data | json_query( " results[?type== ' FileHash-MD5 ' ] " ) .value }} In FortiSOAR 7.6, advanced data manipulation within playbooks often requires the use of JMESPath queries via the json_query Jinja filter. To extract specific data from a complex JSON object (like the vars.artifacts dictionary shown in the exhibit), the analyst must follow the structural hierarchy:
Slot 1 (data): Based on the exhibit, the root of the artifact information is located under vars.artifacts.data.
Therefore, " data " is the starting point for the filter.
Slot 2 (json_query): To perform advanced filtering (searching for a specific type), the json_query filter must be applied. This allows the playbook to traverse the list and find items matching a specific key-value pair.
Slot 3 ( " results[?type== ' FileHash-MD5 ' ] " ): This is the JMESPath expression. It looks into the results array and applies a filter [?...] to find only those objects where the type attribute exactly matches FileHash- MD5.
Slot 4 (value): Once the correct object(s) are found, the expression needs to return the actual hash. In the JSON exhibit, the MD5 string is stored in the key named value.
Why other options are incorrect:
tojson: This filter converts a dictionary/list into a JSON string, which would break the ability to further query the object for the " value " field.
results (as a standalone slot): While " results " is part of the path, it is handled inside the json_query string to allow for conditional filtering.
NEW QUESTION # 25
......
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