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| Section | Weight | Objectives |
|---|---|---|
| Event Correlation and Rule Management | 20% | - Creating and configuring correlation rules - Managing alerts, tuning rules, reducing false positives |
| Event Collection and Normalization | 20% | - Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources |
| Incident Detection, Investigation and Response | 15% | - Applying incident response workflows and escalation - Using dashboards and tools for incident investigation |
| Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Configuring dashboards and real-time monitoring - Integrating with security tools and ZTNA |
| Analytics | 30% | - Applying group by and data aggregation - Building queries from search results and events - Performing CMDB and lookup table queries |
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NEW QUESTION # 28
Refer to the exhibit.
What is the Group: VPN Gateway value a reference to? (Choose one answer)
Answer: B
Explanation:
The correct answer is A. A configuration management database (CMDB) device group . In the exhibit, the analytics filter uses Source IP IN Group: VPN Gateway . In FortiSIEM analytics, values shown as Group:
for IP/device-related attributes commonly reference FortiSIEM CMDB groups, not firewall address groups or rule folders. The FortiSIEM 7.4 User Guide explains how CMDB groups are inserted into queries: to add a CMDB group, the user selects an attribute, selects an operator such as IN , and then selects a value from CMDB. The guide gives a direct example where a reporting IP is matched using a firewall device group, expressed as a condition equivalent to "reptDevIpAddr IN Firewall group." This matches the exhibit's structure: Source IP is the event attribute, IN is the operator, and Group:
VPN Gateway is the selected CMDB group value. A FortiSIEM watchlist is different; the Study Guide describes watchlists as containers of similar items that can be referenced in searches, rules, and reports, but they are managed under Resources > Watch Lists, not shown here as a CMDB-style device group value. A FortiGate address group exists on FortiGate, not as this FortiSIEM analytics CMDB group reference.
NEW QUESTION # 29
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 # 30
Rules on FortiSIEM are usually processed as events are collected (streaming). How can you create a rule to evaluate events over an 8-hour period?
Answer: C
Explanation:
Setting the Evaluation Mode to Scheduled allows FortiSIEM to evaluate accumulated events over a defined historical period, such as 8 hours, instead of processing events only in real time through streaming evaluation.
NEW QUESTION # 31
Refer to the exhibit. What will happen when a device being analyzed by the machine learning (ML) configuration shown in the exhibit has a consistently high memory use?
Answer: B
Explanation:
The ML regression model uses memory utilization, sent bytes, and received bytes as prediction inputs for CPU utilization. If memory usage remains consistently high, FortiSIEM adapts the learned baseline and updates the model with a higher average memory utilization value over time.
NEW QUESTION # 32
Which statement about thresholds is true?
Answer: C
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 # 33
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