Fortinet FCSS_ADA_AR-6.7 Dumps

When a WAN link failure occurs between the collector and the supervisor in FortiSIEM:

● The collector does not discard events; instead, it buffers them until the connection is restored.

● The buffering limit is up to 1 GB after compression to optimize storage and prevent data loss.

● Once the WAN link is restored, buffered events are sent to the supervisor for processing.

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.

The administrator is running an analytic search that groups results bySource IP, Reporting IP, and User, and filters only those with aCOUNT >= 3.

Looking at the data:

●Adminhas three failed attempts from thesame Source IP (203.0.113.4)andReporting IP (10.0.1.99).

●JanandSarahappear onlyonce or twicein the dataset.

●Tomhasmultiple entries, but they are fromdifferent Source IPs and Reporting IPs, meaning they are not counted as three under the same group.

InFortiSIEM, anintegration policycan be invokedthrough Notification Policy settings. This allows automated responses such as:

● Sending alerts toexternal systems (e.g., SIEMs, ticketing systems, SOAR platforms).

● Triggering actions based on specificincident rules.

● Integrating withthird-party solutionsforremediation, escalation, or logging.

FortiSOAR supports multipledata ingestion modesto allow efficient data collection and automation. The three primary modes are:

1.Rule-Based

FortiSOAR ingests data when specific rules are triggered based on defined conditions.

This enables automation and intelligence-driven event ingestion.

2.App Push

External applications canpushdata into FortiSOAR usingAPIs and integrations.

This is useful forreal-time ingestionfrom external tools like SIEMs, ticketing systems, and threat intelligence platforms.

3.Schedule-Based

Data is ingested based onpredefined schedules.

This is useful for periodic polling of external systems, fetching logs, and running automated tasks at set intervals.

Thenatural_idvalue in theph_sys_connectortable of theFortiSIEM Postgres databaseuniquely identifies acollector.

● The SQL query retrieves details fromph_sys_connector, which stores information about registered collectors.

● Thecust_org_idfield indicates theorganization IDthe collector belongs to.

● Thenamefield shows thecollector's name(OrgA_Collector).

● Theip_addrfield lists thecollector's IP address(10.10.2.91).

● Thenatural_idvalue uniquelyidentifies the collector in the system.

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.

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.

In a nested event query, the inner query executes first, and its results feed into the outer query. Since the Source IP comes from the report "Failed Logons to Network Devices", which is part of the inner query, the nested time range applies to it. The other attributes, Reporting IP and Event Type, belong to the outer query and are not affected by the nested time range.

In the exhibit, the "Clear If" condition does not specify a condition for auto-clearing the incident. If an incident does not have a specific clear condition, it remains active until manually resolved or cleared by another process.

FortiSIEM does not allow CMDB queries to be nested within other CMDB queries. CMDB data is static information, and nesting would not add value or function properly in query execution.

FortiSIEMcollectorsare responsible forgathering logsfrom devices andforwarding themto the FortiSIEM cluster. Their communication with the cluster follows these key principles:

●Collectors periodically communicate with the supervisor node.

● This allows them toreport status, receive updates, and verify configurations.

●The supervisor periodically checks the health of the collector.

● Thesupervisor monitors the collector’s uptime, connectivity, and performance.

●Collectors upload event data to worker nodes but report health to the supervisor.

●Event logs are uploaded to worker nodesas per theworker upload list, ensuring distributed event processing.

●Health status is always reported directly to the supervisorfor centralized monitoring.

InFortiSIEM baselining, anhourly bucketis used to maintainhourly-specific statistical baselines. This helps detect anomalies by comparing current activity against historical norms foreach hour of the day, separately forweekdays and weekends.

The system maintainshourly profiles, ensuring that anomalies are detected based on similar timeframes. This approach prevents false positives due to natural variations in network activity across different times of the day and different days of the week.

From the provided XML configuration, we need to focus on the section, which defines the attributes used for grouping.

In theSelectClause, the following attributes are listed:

reptDevName, reptDevAddr, COUNT(*), COUNT(DISTINCT user), COUNT(DISTINCT srcIpAddr)

●reptDevNamerepresents thereporting device.

●reptDevAddrrepresents thereporting IP.

●COUNT(DISTINCT user)tracks unique users.

●COUNT(DISTINCT srcIpAddr)tracks distinct source IPs.

In theGroupByAttrsection:

reptDevName, reptDevAddr

This confirms that the grouping is performed byReporting Device (reptDevName)andReporting IP (reptDevAddr).

Guaranteed Allocation:50 + 100 + 150 = 300 EPS

Actual (Incoming) Usage:25 + 50 + 75 = 150 EPS→ Unused from guarantees = 300 − 150 = 150 EPS

Burst Capacity (Licensed minus Guaranteed):520 − 300 = 220 EPS

Total Unused Capacity:150 + 220 = 370 EPS

As a Percentage of Licensed EPS:370/520 ≈ 71.15% → reported (after conversion/rounding) as ~71.460

Collaborative knowledge sharing: FortiSOAR enables security teams to share knowledge, automate workflows, and improve incident response efficiency by centralizing intelligence and standardizing processes.

Addressing analyst skills gap: By automating repetitive tasks and providing guided response playbooks, FortiSOAR helps SOC teams compensate for skill shortages and improve operational effectiveness.

Reducing human error: Automation and predefined workflows minimize manual interventions, reducing the likelihood of errors in incident detection, response, and remediation.

The rule is tracking asudden increase in WMI response timesover a30-minute window. The key detail here is the increase factor.

● The term1.50 times increasemeans the new value is150%of the previous baseline.

● A1.50x increasecorresponds to a150% increase, since the new value isoriginal + 150% of original.