Fortinet FCSS_ADA_AR-6.7 Practice Test - Questions Answers

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.

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

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.

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

In the SelectClause, the following attributes are listed:

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

reptDevName represents the reporting device.

reptDevAddr represents the reporting IP.

COUNT(DISTINCT user) tracks unique users.

COUNT(DISTINCT srcIpAddr) tracks distinct source IPs.

In the GroupByAttr section:

<GroupByAttr>reptDevName, reptDevAddr</GroupByAttr>

This confirms that the grouping is performed by Reporting Device (reptDevName) and Reporting IP (reptDevAddr).

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.

Group By automatically applies a COUNT aggregation.

When using Group By in FortiSIEM structured queries, it automatically applies a COUNT(*) function unless a different aggregation (such as SUM, AVG, or MAX) is specified. This helps summarize data by counting occurrences of grouped attributes.

Group By is applied to real-time and historical searches.

Grouping functions work in both real-time (live event monitoring) and historical (past event analysis) searches, making it useful for trend analysis, anomaly detection, and correlation.

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.

From the Filters section in the exhibit, we see:

1. Event Type IN EventTypes: Domain Account Locked

2. Reporting IP IN Applications: Domain Controller

3. Logical Operator: AND

Since both conditions must be true, the rule is effectively filtering events where:

The event type belongs to the Domain Account Locked CMDB group

The reporting IP belongs to the Domain Controller applications group

From the 'Clear If' condition in the exhibit:

WITHIN 5 minutes, the system checks if the pattern AllPingLossSrv_CLEAR occurs.

The Host IP of the clear condition must match the Host IP of the original rule (Clear_Condition.Host IP = Original_Rule.Host IP).

If this condition is met, the system automatically clears the incident because it indicates that network connectivity has been restored (packet loss has dropped).

Thus, the incident was auto-cleared because the system detected that the issue was resolved within the defined 5-minute window, meeting the conditions for auto-clearance.