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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Event Correlation and Rule Management | 20% | - Managing alerts, tuning rules, reducing false positives - Creating and configuring correlation rules |
| Topic 2: Analytics | 30% | - Applying group by and data aggregation - Building queries from search results and events - Performing CMDB and lookup table queries |
| Topic 3: Event Collection and Normalization | 20% | - Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources |
| Topic 4: Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Topic 5: Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring |
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NEW QUESTION # 11
When configuring machine learning (ML), in which step can you modify how the model fits the training data set?
Answer: A
NEW QUESTION # 12
Refer to the exhibit.
A FortiSIEM device is receiving syslog events from a FortiGate firewall. The FortiSIEM analyst is trying to search the raw event logs for the last two hours that contain the keyword " udp " . However, they are getting no results from the search, which they know should be available. Based on the filter shown in the exhibit, why are there no search results?
Answer: D
Explanation:
The operator is set to " = " , which performs an exact match on the entire raw event log, not a substring search. To find logs that contain the keyword " udp " , the analyst should use the CONTAIN operator instead.
This will return all logs where " udp " appears anywhere in the raw log message.
The correct answer is D because the analyst is trying to search for raw logs that contain the keyword udp, but the filter uses the equality operator. The FortiSIEM Study Guide explains keyword searches in terms of Raw Event Log CONTAIN logic. In the keyword phrase search section, the guide states that without quotes, FortiSIEM searches raw event logs by using conditions such as Raw Event Log CONTAIN TCP OR Raw Event Log CONTAIN connection . Another analytics example explains that searching for TCP or UDP events uses the raw event log containing the keyword tcp or udp and that the search returns case-insensitive results for TCP and UDP. This directly eliminates option C. The time range is already set to the last two hours, which is correct for historical raw log searching. The problem is the operator. To find a keyword anywhere inside a raw log message, the analyst should use CONTAIN , not =.
NEW QUESTION # 13
A critical server is sending traffic that is triggering a high severity outbound intrusion prevention system (IPS) permitted IPS exploit rule. This traffic must be allowed. Which two items must you configure to prevent this sever from triggering the incident? (Choose two.)
Answer: A,D
Explanation:
To stop a known allowed server from generating this incident, you can tune the rule logic by excluding the server IP address in the subpattern filter. You can also create a rule exception for that IP address, which suppresses incident generation for matching traffic from the approved server while leaving the rule active for other sources.
NEW QUESTION # 14
Refer to the exhibit.
What will FortiSIEM display if you apply the Group By and Display Fields configuration to a list of allowed firewall connections?
Answer: A
Explanation:
The correct answer is B because the configuration groups results by Source IP and Destination IP , while using COUNT(Matched Events) as a display/aggregate value. FortiSIEM's grouping logic combines events only when the selected Group By attributes match. The Study Guide explains that Group By attributes determine how matching events are placed into rows, and that when multiple events share the same grouped values, "they are grouped together in one row." The count column then tracks the number of events represented by that row. In the exhibit, Source IP and Destination IP are the grouping fields, so FortiSIEM displays each unique connection pair once. The count shows how many matching allowed firewall connection events were seen for each pair. Option A is not correct because the exhibit does not show sorting by destination IP hit count. Option C ignores the source and destination grouping. Option D would require grouping by source IP alone or by distinct destination counts per source, which is not the shown configuration.
NEW QUESTION # 15
Refer to the exhibit.
If you group the events by User and Count attributes, how many results will FortiSIEM display?
Answer: A
Explanation:
The verified answer is D. Five . FortiSIEM grouping is based on unique combinations of the selected Group By fields. The Study Guide explains this behavior clearly: if multiple events have the same selected Group By values, "they are grouped together in one row," and the count column tracks the number of events for each row. In this question, the selected fields are User and Count . The six raw rows contain these combinations:
Mike/4, Bob/3, Alice/2, Alice/2, Bob/6, and Mike/5. Because Alice/2 appears twice, those two rows are grouped into a single result. The remaining combinations are unique. So FortiSIEM displays five grouped results, not six. Six would be correct only if every row had a unique User-and-Count combination, or if grouping included another differentiating attribute such as Source IP. Since the question specifically groups only by User and Count, duplicate User/Count pairs collapse into one row. Therefore, the correct result count is five .
NEW QUESTION # 16
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