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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
| Topic 2: Monitoring, Reporting and Integration | 15% | - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring - Generating compliance and operational reports |
| Topic 3: Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Topic 4: Analytics | 30% | - Applying group by and data aggregation - Building queries from search results and events - Performing CMDB and lookup table queries |
| 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 # 40
Refer to the exhibit.
Which value would you expect the FortiSIEM parser to use to populate the Application Name field?
Answer: B
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 # 41
Refer to the exhibit.
An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?
Answer: A
Explanation:
The Group By attributes - Destination IP and User - cause the aggregation (COUNT(Source IP) >= 2) to apply within each unique combination of those groupings. This restricts the count calculation and can prevent the rule from triggering incidents, even if matching events exist in the Analytics tab.
NEW QUESTION # 42
Refer to the exhibit.
How was this incident cleared?
Answer: D
Explanation:
The Incident Status shows " Auto Cleared " , and the Cleared Reason states: " Rule has not been triggered for
20 minutes. " This indicates that the incident was automatically cleared by the rule logic after a defined period of inactivity.
The correct answer is C because the exhibit shows the incident status as Auto Cleared and the cleared reason indicates that the rule condition was no longer being triggered. The Study Guide explains that FortiSIEM supports clear conditions and auto-clearing behavior at the rule level. It states that if a time-based clear condition is configured, FortiSIEM can auto-clear the incident after the last occurrence if the trigger condition no longer exists. It also explains pattern-based clear behavior: FortiSIEM evaluates clear-condition subpatterns and compares attributes from the clear condition with the original incident attributes. If the configured attributes match, the incident status is set to auto cleared. In the exhibit, the cleared reason says the rule has not been triggered for a defined number of minutes. That is not a manual action by the analyst and not an endpoint-generated all-clear signal. It is FortiSIEM's rule-based clearing logic. Option B is also wrong because the exhibit shows a specific rule inactivity period, not a generic 24-hour timeout.
NEW QUESTION # 43
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?
Answer: D
Explanation:
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.
NEW QUESTION # 44
What can you use to send data to FortiSIEM for user and entity behavior analytics (UEBA)?
Answer: C
Explanation:
The correct answer is A. FortiSIEM agent. The FortiSIEM Study Guide identifies FortiSIEM agents as the component responsible for "file, log monitoring, and UEBA." It also explains that FortiSIEM agents can be installed on endpoints or servers to provide data collection functions that native syslog may not provide. For Windows systems specifically, the guide states that Windows servers do not natively send syslog messages and that a FortiSIEM Windows agent can be installed to perform that function. The FortiSIEM 7.4 User Guide also confirms that FortiInsight UEBA functionality runs as an integrated module within the FortiSIEM Windows Agent in newer releases. SSH and SNMP are access or monitoring protocols; they can support discovery or performance monitoring, but they are not the UEBA data-sending component. A FortiSIEM worker performs analysis and search functions inside the FortiSIEM architecture; it is not installed on endpoints to collect UEBA telemetry. Therefore, the FortiSIEM agent is the correct mechanism for sending UEBA-relevant endpoint data to FortiSIEM.
NEW QUESTION # 45
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