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Which two statements about Elasticsearch are true? (Choose two.)
Elasticsearch in FortiSOAR is used for its robust data handling capabilities, allowing rapid storage, searching, and analysis of vast amounts of data in near real-time. Its integration with FortiSOAR's global search enables efficient querying across all records, providing quick response times and a seamless user experience. The Elasticsearch database is crucial for handling extensive datasets and delivering swift search results, making it integral to FortiSOAR's performance and data management capabilities.
Which CLI command will not work when the PostgreSQL database on FortiSOAR is externalized?
When the PostgreSQL database is externalized in FortiSOAR, certain HA-related CLI commands become inapplicable. Specifically, the csada ha firedrill command, which is used to test the integrity of the HA cluster by simulating failures, is not applicable in scenarios where the database is managed outside FortiSOAR. Externalizing the database changes how FortiSOAR manages database connections, making some internal commands like firedrill redundant.
Which SMS vendor does FortiSOAR support for two-factor authentication?
For two-factor authentication (2FA) via SMS, FortiSOAR supports integration with Telesign. This vendor provides SMS-based 2FA services, enabling FortiSOAR to leverage Telesign's API for sending verification codes as part of its security features. Telesign's service is compatible with FortiSOAR, ensuring secure user authentication when accessing the platform or certain features.
Refer to the exhibit.
Which two statements about the recommendation engine are true? (Choose two.)
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.
