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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Reporting and Integration | 15% | - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring - Generating compliance and operational reports |
| 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% | - 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 # 78
When using user and entity behavior analytics (UEBA) on FortiSIEM, what can you use to dynamically supply a list of suspicious IP addresses to FortiGate for blocking?
Answer: D
Explanation:
FortiSIEM watchlists can dynamically maintain suspicious entities, such as IP addresses identified through UEBA rules or analytics. These watchlists can then be used to provide FortiGate with an updated list of IP addresses for automated blocking.
NEW QUESTION # 79
Refer to the exhibit.
What is the Group: VPN Gateway value a reference to? (Choose one answer)
Answer: A
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 # 80
Which items are used to define a subpattern?
Answer: D
Explanation:
The correct answer is A. Filters, Aggregate, Group By definitions. FortiSIEM rule subpatterns are built from three main configuration areas. The Study Guide states that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also explains that the single- subpattern rule example in the FortiSIEM GUI demonstrates how "filters, aggregate, and group by" come together to form a subpattern rule. Filters define which events are eligible for matching, such as Event Type, Source IP, Destination IP, or other event attributes. Aggregate defines the threshold or statistical calculation, such as COUNT(Matched Events) > = 3 or an average metric threshold. Group By defines how FortiSIEM partitions matching events into separate evaluation groups, such as by User, Source IP, Destination IP, Host Name, or Reporting Device. Time Window is part of the higher-level rule condition, not one of the three subpattern definition sections. Therefore, the exact components used to define a subpattern are Filters, Aggregate, and Group By.
NEW QUESTION # 81
You need a model for predicting a target field based on other fields in a dataset and then trigger an anomaly if the value does not match the prediction. Which machine learning algorithm will build this type of model?
Answer: A
Explanation:
A Regression algorithm is used when predicting a continuous or numeric target field based on other features in the dataset. In FortiSIEM, regression-based machine learning models establish expected values, and an anomaly is triggered when the actual observed value significantly deviates from the regression prediction.
NEW QUESTION # 82
In an automation policy, which two methods can you use for notifications when an incident is triggered? (Choose two.)
Answer: C,D
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 # 83
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