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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics | 30% | - Performing CMDB and lookup table queries - Applying group by and data aggregation - Building queries from search results and events |
| Topic 2: Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Topic 3: Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
| Topic 4: Event Correlation and Rule Management | 20% | - Creating and configuring correlation rules - Managing alerts, tuning rules, reducing false positives |
| Topic 5: Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Configuring dashboards and real-time monitoring - Integrating with security tools and ZTNA |
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NEW QUESTION # 86
Refer to the exhibit.
If you group these events by the User and Count attributes, how many unique results will FortiSIEM display?
Answer: A
Explanation:
Grouping by User and Count combines only rows that have the same values for both attributes.
The two Alice rows with a count of 2 are grouped into one result, while the other user-and-count combinations remain unique, so FortiSIEM displays five unique results.
NEW QUESTION # 87
From which two sources can you import data to train FortiSIEM machine learning? (Choose two.)
Answer: A,D
NEW QUESTION # 88
Refer to the exhibit.
An analyst is trying to identify an issue using an expression based on the Expression Builder settings shown in the exhibit; however, the error message shown in the exhibit indicates that the expression is invalid.
What is the correct syntax to create an expression that generates a total count of matched events?
Answer: A
Explanation:
The correct syntax is COUNT(Matched Events) - with proper capitalization and spacing - to generate a total count of matched events. The error in the exhibit likely stems from a formatting issue (e.g., lowercase count() or incorrect spacing), not the logical structure of the expression.
COUNT(Matched Events) . FortiSIEM uses aggregate functions inside rule subpatterns and analytics display fields to calculate values such as the number of matched events. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also shows that the Aggregate section is where expressions such as COUNT(Matched Events) are used to define event-count thresholds. In the exhibit, the expression is intended to generate a total count of matched events. The proper function format is the aggregate function name followed by the target field inside parentheses. Therefore, COUNT(Matched Events) is syntactically valid. Options B, C, and D are invalid because they place the function name outside the standard function-call format or attach the argument incorrectly. This matters because FortiSIEM's Expression Builder validates expressions according to function syntax. To count matched events, the function must be written as an aggregate operation over the Matched Events field.
NEW QUESTION # 89
How can you use the configuration management database (CMDB) in an analytics search?
Answer: B
Explanation:
In an analytics search, FortiSIEM can use devices stored in the CMDB as searchable entities, such as source IP addresses. This allows searches and rule logic to reference known assets from the CMDB instead of relying only on manually entered IP values.
NEW QUESTION # 90
An analyst wants to run a remediation playbook when a user fails a VPN login five times from an external machine. Where do they associate the remediation playbook with the triggering rule?
Answer: D
Explanation:
A remediation playbook is associated directly with the rule in the Action section. When the rule conditions are met and the incident is triggered, FortiSIEM can run the configured playbook as part of the rule's automated response.
NEW QUESTION # 91
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