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| Section | Objectives |
|---|---|
| Topic 1: Rules and Incident Management | - Rules and Alerts
|
| Topic 2: Advanced Analytics and Integrations | - ML, UEBA, and ZTNA
|
| Topic 3: FortiEDR and Security Policy Integration | - FortiEDR Security Configuration
|
| Topic 4: Analytics and Search | - Query and Event Analysis
|
>> Fortinet NSE6_FSM_AN-7.4的中合格問題集 <<
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質問 # 49
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?
正解：C
解説：
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.
質問 # 50
Refer to the exhibit.
An analyst wants to perform a KMeans machine learning (ML) job on this data. How many N clusters would be a good fit for the data? (Choose one answer)
正解：D
解説：
The best answer is A. Two . The exhibit shows an Analytics Search scatter plot with two visually distinct groups of data points: one isolated group around the lower-left area of the chart and another dense group near the upper-right area. For KMeans clustering, the analyst must provide the number of clusters based on the observed structure of the data. The FortiSIEM 7.4 User Guide describes KMeans as "an unsupervised clustering algorithm that groups data points into user specified K groups so that each data point belongs to one group." It also states that KMeans "tries to iteratively minimize intra-cluster distance and maximize inter- cluster distance" and notes that the user must "specify the number of clusters based on user's knowledge of data." The same FortiSIEM guide explains that during Clustering Local Mode training, the analyst chooses the algorithm and, "for KMeans choose the cluster size as a guess." In this exhibit, the natural guess is
2, because the scatter plot separates into two obvious groups. Fifty or 100 clusters would overfit the small number of visible groups, while one cluster would merge two clearly separate behaviors into a single cluster.
質問 # 51
Refer to the exhibit.
If you apply this Group By and Display Fields configuration to a list of network connections, which information will FortiSIEM display?
正解：A
解説：
Grouping by Source IP and Destination IP causes FortiSIEM to aggregate events into unique source-to-destination connection pairs. The matched-events count is displayed for each unique pair, showing how many connections or matching events exist for that grouped relationship.
質問 # 52
Refer to the exhibit. Why are some of the fields highlighted in red?
正解：D
解説：
The highlighted fields represent attributes that contain multiple unique values and therefore cannot be used together in a grouped aggregation display in the current configuration.
質問 # 53
Refer to the exhibit.
Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
正解：A、C
解説：
The FortiSIEM Study Guide defines a nested query as a query that has another query embedded within it, where the embedded query is known as the subquery. The FortiSIEM 7.4 User Guide lists the supported nested search scenarios: Outer CMDB Query, Inner Event Query ; Outer Event Query, Inner Event Query ; and Outer Event Query, Inner CMDB Query . These supported combinations prove that the inner or subquery can be either an Event Query or a CMDB Query. LDAP Query and SNMP Query are not listed as supported nested analytics subquery types. LDAP may be used for user discovery or authentication, and SNMP may be used for monitoring or discovery, but neither is referenced as a nested analytics query type.
The User Guide also explains that the outer query uses Select from Report to reference the saved inner query and that the matching attribute data types must align between the outer query and the selected display column in the inner query.
質問 # 54
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