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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: Monitoring, Reporting and Integration | 15% | - Generating compliance and operational reports - Integrating with security tools and ZTNA - Configuring dashboards and real-time monitoring |
| Topic 3: Incident Detection, Investigation and Response | 15% | - Using dashboards and tools for incident investigation - Applying incident response workflows and escalation |
| Topic 4: Analytics | 30% | - Performing CMDB and lookup table queries - Applying group by and data aggregation - Building queries from search results and events |
| Topic 5: Event Collection and Normalization | 20% | - Collecting logs and data from multiple sources - Normalizing, parsing, and standardizing event data |
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NEW QUESTION # 36
In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)
Answer: A,D
Explanation:
In FortiSIEM automation policies, analysts can be notified of triggered incidents through FortiSIEM Case (which creates and assigns a case for follow-up) and Email notifications (which send alerts directly to recipients). These methods ensure prompt awareness and response to security events.
NEW QUESTION # 37
Refer to the exhibit.
Which two conditions will match this rule and subpatterns? (Choose two.)
Answer: A,D
Explanation:
The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) > = 3) - both from the same Source IP and User within 300 seconds.
The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.
The correct answers are A and B because the rule uses multiple subpatterns and requires them to occur in a defined relationship within the configured time window. The FortiSIEM Study Guide states that rule conditions specify the event attributes and thresholds that trigger the rule and create an incident. It also explains that the time window is the period "within which the subpattern(s) must match for the rule condition to be satisfied," and that when there is more than one subpattern, FortiSIEM requires logic between the subpatterns plus subpattern relationship constraints. In the exhibit, the first subpattern detects an RDP connection and the second detects failed logons. The rule condition uses a sequence relationship, so the failed logon activity must follow the RDP connection and match the relationship constraints, such as same user and source IP. A user using RDP over SSL VPN who fails repeatedly satisfies this logic. A brute-force attack against an RDP server also satisfies the repeated failed-logon requirement after an RDP connection. Failing only twice does not meet the aggregate threshold, and connecting to the wrong IP is not the failed-logon sequence being detected.
NEW QUESTION # 38
Refer to the exhibit.

You are attempting to tune an anomaly detection machine learning (ML) job. The chart shows there are no anomalies detected, but you are not satisfied with the fit of the ML model.
Which adjustment must you make to train the model and ensure a better fit?
Answer: C
Explanation:
Increasing the number of windows gives the ML job more historical data windows to use during training. This improves the model's baseline calculation and helps produce a better statistical fit for anomaly detection.
NEW QUESTION # 39
Refer to the exhibit.
Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)
Answer: B,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 # 40
Rules on FortiSIEM are usually processed as events are collected (streaming). How can you create a rule to evaluate events over an 8-hour period?
Answer: D
Explanation:
Setting the Evaluation Mode to Scheduled allows FortiSIEM to evaluate accumulated events over a defined historical period, such as 8 hours, instead of processing events only in real time through streaming evaluation.
NEW QUESTION # 41
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