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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: Incident Detection, Investigation and Response | 15% | - Applying incident response workflows and escalation - Using dashboards and tools for incident investigation |
| Topic 3: Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
| Topic 4: Analytics | 30% | - Building queries from search results and events - Applying group by and data aggregation - Performing CMDB and lookup table queries |
| Topic 5: Monitoring, Reporting and Integration | 15% | - Configuring dashboards and real-time monitoring - Integrating with security tools and ZTNA - Generating compliance and operational reports |
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NEW QUESTION # 47
Refer to the exhibit. If you group these events by the Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?
Answer: B
Explanation:
All events share the same Reporting IP and Event Type. Grouping by User produces three distinct groups: Mike, Bob, and Alice. Therefore, FortiSIEM displays three results.
NEW QUESTION # 48
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 # 49
Refer to the exhibit. Which section contains settings that determine which attribute associations are used to trigger an incident?
Answer: B
NEW QUESTION # 50
Refer to the exhibit.
An analyst is trying to generate an incident with a title that includes the Source IP, Destination IP, User, and Destination Host Name. They are unable to add Destination Host Name as an incident attribute.
What must be changed to allow the analyst to select Destination Host Name as an attribute?
Answer: C
Explanation:
The attribute must be selected as a Triggered Attribute so that it becomes available for incident generation and incident-title substitution. In the FortiSIEM Study Guide's rule action configuration section, FortiSIEM separates incident attributes from triggered attributes. Triggered attributes are taken from the events that cause the rule to trigger and are then available for incident display and incident context. The guide explains that the rule action step is where an analyst defines the incident generated by a rule and chooses which attributes are carried forward. If Destination Host Name is not selected in the Triggered Attributes list, FortiSIEM cannot use it as an incident attribute in the generated incident title. Option B is wrong because aggregate items are used for calculations such as COUNT, AVG, or SUM, not for making a text attribute available in the incident title. Option C is wrong because Destination Host Name is an event attribute, not an event type. Option D is unrelated; removing Destination IP would not make Destination Host Name selectable.
NEW QUESTION # 51
Refer to the exhibit.
An analyst wants the rule shown in the exhibit to trigger when three failed login attempts occur within three minutes.
What should the values be for the condition time window and aggregate count?
Answer: C
Explanation:
To detect three failed login attempts within three minutes, you must set the aggregate count to 3 in the subpattern and the time window to 180 seconds in the rule condition. This ensures the rule triggers only if three or more failed logins occur in that timeframe.
The correct answer is A because three minutes equals 180 seconds, and the aggregate threshold must be set to three matching events. The FortiSIEM Study Guide explains that rule conditions specify event attributes and thresholds that trigger the rule and create an incident. It further states that the time window defines the period within which the subpattern must match for the rule condition to be satisfied. The Study Guide's single- subpattern rule example shows the same principle: the condition has a configured time window, and the Aggregate section uses a function such as COUNT(Matched Events) to require a minimum number of matching events. In this question, the analyst wants the rule to trigger when three failed login attempts happen within three minutes . Therefore, the rule condition time window must be 180 seconds , and the aggregate count must be 3 . A 90-second window would detect only events inside one and a half minutes, not the required three minutes. An aggregate count of 2 would trigger too early because the requirement is three failed attempts.
NEW QUESTION # 52
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