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| Section | Objectives |
|---|---|
| Rules and Subpatterns | - Analytics rules configuration
|
| FortiEDR Security Settings and Policies | - Security configuration
|
| Analytics | - Query and event analysis
|
| Incidents, Notifications, and Remediation | - Incident management
|
| Machine Learning, UEBA, and ZTNA | - Advanced analytics integration
|
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NEW QUESTION # 92
Refer to the exhibit.
An analyst is trying to identify an issue using an expression based on the Expression Builder settings shown in the exhibit; however, the error message shown in the exhibit indicates that the expression is invalid.
What is the correct syntax to create an expression that generates a total count of matched events?
Answer: B
Explanation:
The correct syntax is COUNT(Matched Events) - with proper capitalization and spacing - to generate a total count of matched events. The error in the exhibit likely stems from a formatting issue (e.g., lowercase count() or incorrect spacing), not the logical structure of the expression.
COUNT(Matched Events) . FortiSIEM uses aggregate functions inside rule subpatterns and analytics display fields to calculate values such as the number of matched events. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also shows that the Aggregate section is where expressions such as COUNT(Matched Events) are used to define event-count thresholds. In the exhibit, the expression is intended to generate a total count of matched events. The proper function format is the aggregate function name followed by the target field inside parentheses. Therefore, COUNT(Matched Events) is syntactically valid. Options B, C, and D are invalid because they place the function name outside the standard function-call format or attach the argument incorrectly. This matters because FortiSIEM's Expression Builder validates expressions according to function syntax. To count matched events, the function must be written as an aggregate operation over the Matched Events field.
NEW QUESTION # 93
An analyst wants to create a rule from a newly created analytics search. What is the quickest method?
Answer: D
Explanation:
The quickest way to create a rule from an existing analytics search in FortiSIEM is to go to the Analytics tab and select Actions > Create Rule. This automatically converts the current search filters and parameters into a correlation rule template, saving time compared to manually re- entering all the search criteria.
NEW QUESTION # 94
Refer to the exhibit.
Which statement about the time range settings defined in the nested query is accurate? (Choose one answer)
Answer: D
Explanation:
The correct answer is D. The exhibit shows an outer event query using the Event Attribute filter Source IP NOT IN Device IP: Approved Devices. The outer query time range is set to Relative - Last 10 Minutes, so FortiSIEM searches only the event data from the last 10 minutes. The exhibit also shows a separate Nested Time Range set to Relative - Last 30 Days. In FortiSIEM nested searches, the nested time range applies to the inner report/subquery, not to the outer event search. The FortiSIEM 7.4 User Guide states that nested query functionality lets one query refer to results from another query, and for outer event / inner event nested searches, it instructs the user to "choose the time range for outer query" and separately "choose Nested Time Range for the inner query." It also states that when an existing query is used as an inner query, "time range would be set separately" in the outer query configuration. Therefore, FortiSIEM searches the last 10 minutes of outer events and compares their Source IP values against the Device IP values returned by the Approved Devices report using the last
30 days nested time range.
NEW QUESTION # 95
Refer to the exhibit. Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
Answer: B,D
Explanation:
FortiSIEM nested analytics queries support CMDB queries and Event queries as subqueries.
These lookup types allow the main query to reference results returned from event data or CMDB- based datasets.
NEW QUESTION # 96
Refer to the exhibits.
You want the rule shown in the exhibit to trigger when three failed login attempts occur within 3 minutes.
Which condition time window and aggregate values are correct for your objective?
Answer: C
Explanation:
Three minutes equals 180 seconds. Because the aggregate operator shown is greater than, the matched-event count must be set to 2 so the rule triggers when the count becomes greater than
2, meaning three or more failed login attempts occur within the condition window.
NEW QUESTION # 97
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