FCSS_ADA_AR-6.7 Exam Dumps - Fortinet Certified Solution Specialist Questions and Answers

InFortiSIEM, collectors need to upload event logs to aworker nodefor processing. However, if there isno dedicated worker, thesupervisor can function as the workerto receive data.

● The error message suggests that aworker upload addressmust be defined before adding a collector.

● Since there isno dedicated worker, the administrator canset the Supervisor IP as the upload destinationto enable log collection.

FortiSIEM's User and Entity Behavior Analytics (UEBA) uses AI-driven modeling to detect anomalies and security risks based on user activity. The risk weighting for UEBA tags allows customization of the AI model by prioritizing certain behaviors or indicators over others.

Adjusting risk weightings fine-tunes how the AI model evaluates risk, helping organizations align detection sensitivity with their security policies. This provides a customized risk scoring mechanism without requiring full AI retraining.

Therule engineinFortiSIEMloadsbaseline data valuesfrom theprofile database. This database stores historical trends and behavioral baselines for various metrics, such asCPU usage, network activity, and authentication patterns.

●Profile databasemaintainslong-term aggregated statisticsfor anomaly detection.

●Baseline valuesare used to comparecurrent eventsagainst expected behavior.

● This helps indetecting deviations, such as a sudden increase in failed logins or unusual traffic spikes.

Based on the provided exhibit, we can determine how long the UEBA agent has been operationally down by looking at the "First Occurred" and "Last Occurred" timestamps.

● First Occurred: Sep 13, 2021, at 01:10 PM

● Last Occurred: Sep 14, 2021, at 09:10 AM

From Sep 13, 01:10 PM to Sep 14, 01:10 AM → 12 hours

From Sep 14, 01:10 AM to Sep 14, 09:10 AM → 8 hours

Total downtime = 12 + 8 = 20 hours

InFortiSIEM,numPointsis a parameter used inrules and the profile databaseto ensure the reliability of statistical baselines and prevent anomalies from being falsely triggered due to insufficient data.

1.To prevent premature triggering of a rule before a baseline is set and becomes active.

numPoints ensures that a rule does not trigger until a sufficient number of data points are collectedfor the baseline.

Without enough data, the system may generatefalse positivesdue to the lack of a stable historical pattern.

2.To fetch only values from the profile database that have numPoints greater than a certain threshold.

When querying theprofile database, numPoints acts as afilterto ensure that onlydata points meeting a minimum thresholdare considered for analysis.

This prevents unreliable or insufficient historical data from affecting anomaly detection.

EPS burstingin FortiSIEM allows temporary spikes in events per second (EPS) beyond the licensed limit, but only if there areaccumulated unused EPS credits. This ensures flexibility in handling short-term surges without requiring a permanent license upgrade.

● FortiSIEMaccumulates unused EPS creditswhen actual EPS usage is below the licensed limit.

● When anevent surgeoccurs, FortiSIEM canburst up to 5x the licensed EPS,but only if there are sufficient accumulated credits.

This allowsadaptive scalingwhile preventing abuse of resources beyond allocated licensing.

Lookup tables and watchlists serve different purposes in Fortinet’s Advanced Analytics:

● Lookup tables allow for structured data storage with multiple columns, making them useful for correlating different attributes or key-value pairs.

● Watchlists are simpler and contain only a single column, often used for quick reference to flagged values, such as IP addresses or user accounts.