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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring |
| Topic 2: Incident Detection, Investigation and Response | 15% | - Applying incident response workflows and escalation - Using dashboards and tools for incident investigation |
| Topic 3: Event Collection and Normalization | 20% | - Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources |
| Topic 4: Analytics | 30% | - Building queries from search results and events - Performing CMDB and lookup table queries - Applying group by and data aggregation |
| Topic 5: Event Correlation and Rule Management | 20% | - Managing alerts, tuning rules, reducing false positives - Creating and configuring correlation rules |
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NEW QUESTION # 33
What are the four incident status values on FortiSIEM?
Answer: A
Explanation:
FortiSIEM incidents can have four status values: Active, Auto Cleared, Cleared Manually, and System Cleared. These statuses track the lifecycle of an incident-from detection (Active) to resolution - whether it's cleared automatically by correlation logic or manually by an analyst.
NEW QUESTION # 34
In an automation policy, which two methods can you use for notifications when an incident is triggered? (Choose two.)
Answer: A,C
Explanation:
Automation policies can notify users or external systems when an incident is triggered by sending email notifications or SNMP traps. These notification actions are configured in the automation policy action settings.
NEW QUESTION # 35
Refer to the exhibits.
Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?
Answer: C
Explanation:
The rule groups events by host and evaluates them within the 10-minute window. Server A has three matching CPU utilization events, and its average CPU utilization is greater than the configured critical threshold of 90, so it generates one incident. Server B does not exceed the threshold, so it does not generate an incident.
NEW QUESTION # 36
Refer to the exhibit.
An incorrect configuration is shown.
Which setting must you change to successfully apply this configuration to FortiSIEM?
Answer: B
Explanation:
For a regression machine learning job, the train factor must allocate enough data for model training. Setting it to 70% or greater provides sufficient training data so FortiSIEM can successfully apply and train the model configuration.
NEW QUESTION # 37
Refer to the exhibit.
What is the Group: FortiSIEM Analysts value referring to?
Answer: C
Explanation:
The correct answer is C. CMDB user group . In FortiSIEM, users and user groups are maintained as CMDB objects and can be referenced in analytics filters and rule logic. The FortiSIEM 7.4 User Guide table of contents explicitly includes CMDB management for users, viewing user information, adding users, editing or deleting users, performing operations on users, and working with user groups. This confirms that user groups are part of the FortiSIEM CMDB data model. The query shown in the exhibit uses the Analytics filter with the User attribute and the value Group: FortiSIEM Analysts . That syntax indicates that FortiSIEM is referencing a FortiSIEM-defined user group from CMDB, not an LDAP group directly and not an Active Directory group directly. LDAP and Active Directory can be used to discover or authenticate users, but once referenced as a FortiSIEM analytics group value, the object is a CMDB user group. FortiSIEM organization groups are tenant/organization constructs and are not the same as CMDB user groups.
NEW QUESTION # 38
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