QUESTION: 5

When configuring an HA cluster with an externalized PostgreSQL database, which two tiles on the database server need to be configured to trust all FortiSOAR nodes' incoming connections? (Choose two.)

pg_hba.conf
db_external_config.yml.
postgreaq1.conf
db_config.yml

Answer(s): A,C

Explanation:

In a FortiSOAR High Availability (HA) cluster setup with an externalized PostgreSQL database, it is necessary to configure the database server to allow incoming connections from all FortiSOAR nodes. This configuration involves modifying the pg_hba.conf file to set up host-based authentication and control which IP addresses can connect. The postgresql.conf file must also be adjusted to enable listening on all necessary IP addresses, which is critical for FortiSOAR nodes to connect to the database server securely and reliably. Together, these configurations ensure that all FortiSOAR nodes can access the database, facilitating effective HA functionality.

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QUESTION: 6

For which two modules on FortiSOAR can you create SLA templates7 (Choose two.)

Alerts
Indicators
Incidents
Tasks

Answer(s): A,B

Explanation:

In FortiSOAR, SLA (Service Level Agreement) templates can be created for specific modules, including Alerts and Indicators. These templates are essential for tracking response and resolution times, ensuring compliance with defined service levels. By configuring SLAs on the Alerts and Indicators modules, organizations can monitor the time taken to address these items, which is critical in maintaining efficient incident response and management practices. The SLA templates can be customized according to specific business requirements and are applied to records within these modules to enforce timely actions.

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QUESTION: 7

Refer to the exhibit.

Which two statements about the recommendation engine are true? (Choose two.)

There are no playbooks that can be run on the recommended alerts using the recommendation panel
The dataset is trained to predict the Severity and Type fields.
The recommendation engine is set to automatically accept suggestions.
The alert severity is High, but the recommendation is for it to be set to Medium

Answer(s): B,D

Explanation:

The Recommendation Engine in FortiSOAR is designed to assist in alert triage by suggesting values for certain fields based on historical data and machine learning models. In this case, the engine is trained to predict both the Severity and Type fields, suggesting values that align with past incidents and threat intelligence. Although the current alert severity is High, the recommendation engine has suggested adjusting it to Medium based on the pattern of similar past alerts, indicating a less critical threat level than initially perceived. This functionality helps analysts by providing data-driven insights, which can optimize alert handling and resource allocation.

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QUESTION: 8

Refer to the exhibit.

When importing modules to FortiSOAR using the configuration wizard, what actions are applied to fields it you select Merge with Existing as the Bulk action?

Existing fields are kept, new fields are added, and non-imported fields are deleted.
Existing Holds are overwritten, now fields are added, and non-imported fields are deleted.
Existing fields are kept, new fields are added, and non-imported fields are kept.
Existing fields are overwritten, new fields are added, and non-Imported fields are kept.

Answer(s): D

Explanation:

When importing modules into FortiSOAR using the configuration wizard and selecting "Merge with Existing" as the bulk action, the behavior for field handling is as follows: any fields that already exist in the system are overwritten with the imported values. New fields from the imported module are added to the system, while fields that are not part of the imported module remain unaffected and are retained in the system. This option ensures that existing data structures are updated with new information without losing existing, but non-imported, fields.

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Free NSE6_FSR-7.3 Exam Braindumps (page: 2)

QUESTION: 5

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QUESTION: 6

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QUESTION: 7

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QUESTION: 8

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