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| Section | Weight | Objectives |
|---|---|---|
| Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Monitoring, Reporting and Integration | 15% | - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring - Generating compliance and operational reports |
| Analytics | 30% | - Building queries from search results and events - Applying group by and data aggregation - Performing CMDB and lookup table queries |
| 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 |
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NEW QUESTION # 80
Which two data areas can you use for user and entity behavior analytics (EBA) machine learning models?
(Choose two.)
Answer: A,B
Explanation:
The correct answers are A. Process and C. Resources. FortiSIEM UEBA/EBA analytics uses endpoint and behavior-related telemetry to identify abnormal activity. The Study Guide explains that the UEBA incident dashboard shows incidents that the AI module creates based on alerts received from FortiInsight. The UEBA attribute list includes the incident name, host, application, user, tag, and activity. This aligns with process-oriented activity monitoring from endpoint agents. The performance and baseline lessons also explain that FortiSIEM collects performance and availability data from devices and applications, including resource-utilization metrics, and uses that information to build baselines and detect anomalous activity. Resource behavior includes CPU, memory, disk, I/O, and similar utilization patterns, which are valid behavioral-model inputs. Location and Network are important FortiSIEM context areas, but in this question's EBA machine learning model choices, the valid model areas are process behavior and resource behavior. Process reflects what is running or being executed; Resources reflects system or application utilization behavior. Together, these are the two data areas used for EBA machine learning models.
NEW QUESTION # 81
Refer to the exhibit. If a user account is locked after five failed login attempts, how many times will this rule be triggered if three individual users all fail their login 10 times?
Answer: D
Explanation:
The rule groups matching account lockout events by User, along with the reporting device attributes. Each user account produces one account lockout event after the failed-login threshold is reached, so three individual users trigger the rule three times.
NEW QUESTION # 82
Which two processes run analytical queries and must always be running to perform searches?
(Choose two.)
Answer: A,D
Explanation:
Analytical searches depend on the query master and query worker processes. The master coordinates the query execution, while the workers run the query tasks against the event data so search results can be returned.
NEW QUESTION # 83
Refer to the exhibit.
Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
Answer: A,D
Explanation:
The FortiSIEM Study Guide defines a nested query as a query that has another query embedded within it, where the embedded query is known as the subquery. The FortiSIEM 7.4 User Guide lists the supported nested search scenarios: Outer CMDB Query, Inner Event Query ; Outer Event Query, Inner Event Query ; and Outer Event Query, Inner CMDB Query . These supported combinations prove that the inner or subquery can be either an Event Query or a CMDB Query. LDAP Query and SNMP Query are not listed as supported nested analytics subquery types. LDAP may be used for user discovery or authentication, and SNMP may be used for monitoring or discovery, but neither is referenced as a nested analytics query type.
The User Guide also explains that the outer query uses Select from Report to reference the saved inner query and that the matching attribute data types must align between the outer query and the selected display column in the inner query.
NEW QUESTION # 84
How can you query the configuration management database (CMDB) in an analytics search?
Answer: A
Explanation:
The correct answer is A because CMDB objects are referenced from the Value field after selecting the appropriate event attribute and operator. The FortiSIEM Study Guide gives a structured search example that references the CMDB. In that example, the attribute is Reporting IP, the operator is IN, and the value is selected from CMDB groups such as Devices: Windows and Networks: Inside Net. The guide explains that to show events reported by Windows servers within a specific network, you set the attribute and operator first, then browse the CMDB and select the relevant CMDB group value. This confirms the workflow: the CMDB reference is chosen as the value of the condition, not as the attribute itself. Option B is incorrect because the CMDB tab is not used to launch the analytics search this way.
Option C is not a valid workflow. Option D is wrong because the attribute is selected from event or CMDB attribute lists, while the CMDB object or group is selected in the value field.
NEW QUESTION # 85
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