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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics | 30% | - Performing CMDB and lookup table queries - Applying group by and data aggregation - Building queries from search results and events |
| Topic 2: Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Topic 3: Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
| Topic 4: Event Correlation and Rule Management | 20% | - Creating and configuring correlation rules - Managing alerts, tuning rules, reducing false positives |
| Topic 5: Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Configuring dashboards and real-time monitoring - Integrating with security tools and ZTNA |
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NEW QUESTION # 80
Which statement about thresholds is true?
Answer: D
Explanation:
FortiSIEM supports both global thresholds and per-device/per-device-object thresholds for some performance events. The Study Guide states that FortiSIEM can define "per-device-object thresholds or global thresholds" for performance events, and separately explains that global thresholds are referenced by the rules engine by default. Therefore, the correct statement is that FortiSIEM uses global and per-device thresholds for performance metrics. Options A, B, and D are too restrictive or false because FortiSIEM does not use only one fixed threshold model.
NEW QUESTION # 81
Several new internal servers are generating incidents and must be excluded from several FortiSIEM rules. How must you tune rules to exclude several undiscovered devices from rules?
Answer: B
Explanation:
Creating a device group containing the servers and applying that group as a filter exclusion in the relevant rules is the proper tuning method for excluding multiple undiscovered devices from generating incidents across several rules.
NEW QUESTION # 82
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:
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.
NEW QUESTION # 83
How does FortiSIEM update the incident details if the same rule triggers repeatedly?
Answer: B
Explanation:
When the same rule triggers repeatedly for an existing incident, FortiSIEM updates the Incident Count and refreshes the Last Seen timestamp while maintaining the original incident record.
NEW QUESTION # 84
Refer to the exhibit.
The configuration for a machine learning (ML) dataset using anomaly detection is shown.
If data for this model is generated every hour, how long must the FortiSIEM device be up before it can produce a valid training set?
Answer: B
Explanation:
The Windows parameter is set to 10, meaning FortiSIEM requires 10 data windows to build a valid training baseline. Since data is generated every hour, the device must collect 10 hours of data before producing a valid training set.
NEW QUESTION # 85
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