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| Section | Weight | Objectives |
|---|---|---|
| Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
| Event Correlation and Rule Management | 20% | - Creating and configuring correlation rules - Managing alerts, tuning rules, reducing false positives |
| Incident Detection, Investigation and Response | 15% | - Applying incident response workflows and escalation - Using dashboards and tools for incident investigation |
| Analytics | 30% | - Building queries from search results and events - Performing CMDB and lookup table queries - Applying group by and data aggregation |
| Monitoring, Reporting and Integration | 15% | - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring - Generating compliance and operational reports |
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NEW QUESTION # 26
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: A
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 # 27
Refer to the exhibit. When the subpattern is matched, what does the time condition of 60 seconds mean?
Answer: A
Explanation:
The 60-second time window defines the aggregation and evaluation period for the rule. FortiSIEM evaluates whether the specified subpattern conditions occur within that 60-second interval before triggering the rule.
NEW QUESTION # 28
Refer to the exhibit.
Which value would you expect the FortiSIEM parser to use to populate the Application Name field?
Answer: D
Explanation:
The correct answer is C. SSL . FortiSIEM receives raw logs, processes them through parsers, normalizes the extracted fields, classifies the event, and stores the structured data. The Study Guide explains the FortiSIEM process flow: data is collected, processed by the parsing engine, normalized, classified, and then stored. It further states that normalization extracts individual fields from raw events and maps those fields to a common schema. The FortiSIEM 7.4 User Guide describes a parser as a file containing instructions for the parser module to convert a raw log into event attributes. In the exhibit, the raw FortiGate log includes values such as profiletype= " applist " , appcat= " Network.Service " , and app= " SSL " . The field that directly represents the application value is app= " SSL " . Therefore, the parser would use SSL to populate the normalized Application Name field. applist describes the profile type, Network.Service is the application category, and wan1 is the interface, not the application name.
NEW QUESTION # 29
Which two elements can you use to define how an automation policy activates? (Choose two.)
Answer: B,C
NEW QUESTION # 30
Refer to the exhibit. What is the Group: VPN Gateway value referring to?
Answer: D
Explanation:
The value Group: VPN Gateway refers to a CMDB device group in FortiSIEM. This group represents a collection of devices categorized as VPN Gateways in the Configuration Management Database. By filtering with this group, the query retrieves events where the Source IP matches any device included in the CMDB group "VPN Gateway."
NEW QUESTION # 31
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