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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Reporting and Integration | 15% | - Configuring dashboards and real-time monitoring - Generating compliance and operational reports - Integrating with security tools and ZTNA |
| Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Event Correlation and Rule Management | 20% | - Creating and configuring correlation rules - Managing alerts, tuning rules, reducing false positives |
| Analytics | 30% | - Applying group by and data aggregation - Performing CMDB and lookup table queries - Building queries from search results and events |
| Event Collection and Normalization | 20% | - Normalizing, parsing, and standardizing event data - Collecting logs and data from multiple sources |
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NEW QUESTION # 20
Refer to the exhibit. Which two actions can you select in an automation policy to trigger an API call to block an IP address on a FortiGate? (Choose two.)
Answer: A,C
Explanation:
An automation policy can trigger an API-based response by invoking an integration policy or by running a remediation script. Both methods can be used to perform automated response actions such as calling the FortiGate API to block a malicious IP address.
NEW QUESTION # 21
Refer to the exhibit.
Which section contains the subpattern configuration that determines how many matching events are needed to trigger the rule?
Answer: C
Explanation:
The Aggregate section contains the condition COUNT(Matched Events) > = 1, which defines how many events must match the filter criteria for the rule to trigger. This is the subpattern configuration that determines the event threshold.
The correct answer is A. Aggregate . In FortiSIEM rule subpatterns, the Filter section defines which events are eligible for matching, but the Aggregate section defines the statistical or threshold condition that must be satisfied before the subpattern is considered matched. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also states that a single-subpattern rule is formed by three fields: filters, aggregate, and group by. In the exhibit, the aggregate line is COUNT (Matched Events) > = 1. That expression directly specifies the number of matching events required to satisfy the subpattern. Group By only controls how matching events are partitioned into separate evaluation groups.
Actions define what happens after a rule triggers, such as incident generation or notification. Filters define the event type or attribute criteria, but they do not define the required count threshold. Therefore, the section that determines how many matching events are needed is the Aggregate section.
NEW QUESTION # 22
Which analytics search can be used to apply a user and entity behavior analytics (UEBA) tag to an event for a failed login by the user JSmith?
Answer: A
Explanation:
The best matching analytics search is Username CONTAIN smit. The FortiSIEM Analytics lesson explains keyword and attribute matching by using the CONTAIN operator for searching values inside raw logs or attributes. The Study Guide gives a direct example of FortiSIEM translating keyword logic into a condition such as "Raw Event Log CONTAIN TCP." That shows the operator is designed for substring-style matching rather than full-value equality. For a user such as JSmith, the string fragment smit is contained inside the username value, so the condition can match events where the username appears as JSmith, jsmith, or possibly in a longer identity string such as a domain-qualified username.
Option A is wrong because smith is not the complete username and uses an equality-style comparison.
Option B is wrong because it excludes usernames ending in jsmith. Option C uses the wrong operator form for this context. Therefore, the practical FortiSIEM analytics condition that can match the target failed-login event is Username CONTAIN smit.
NEW QUESTION # 23
What are two required components of a rule? (Choose two.)
Answer: C,D
Explanation:
A FortiSIEM rule requires detection logic and at least one subpattern structure to evaluate matching events. The FortiSIEM Study Guide explains that a single subpattern rule example consists of filter, aggregate, and group-by sections. It states: "The subpattern, ExcessVPNLoginFailure, consists of three components: Filter, Aggregate, Group By." That confirms that a subpattern is a core rule component.
The FortiSIEM 7.4 User Guide also identifies Detection Technology as part of rule definition and built- in rule metadata. Detection Technology describes the detection method used by the rule, such as correlation, profiling, machine learning, or correlation using lookup tables. Exception policy is not required; it is used to suppress or tune matches under specific conditions. Clear policy is also not required; it controls how an incident can be cleared or auto-cleared after triggering. Therefore, the required components among the listed options are Subpattern and Detection Technology. Without them, the rule lacks both the event-detection structure and the detection-method classification needed for rule evaluation.
NEW QUESTION # 24
Which rule logic should you use to apply a user entity and behavior analytics (UEBA) tag to an event for a failed login incident by the account JSmith?
Answer: C
Explanation:
To apply a UEBA tag to events for a specific failed-login account, the rule logic should match the username field exactly. Using an exact username match ensures the tag is applied only to events associated with the JSmith account.
NEW QUESTION # 25
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