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NEW QUESTION # 35
What are four incident status options on FortiSIEM?
- A. Active, auto closed, closed manually, system closed
- B. Active, closed, cleared, resolved
- C. Active, auto cleared, cleared manually, system cleared
- D. Active, cleared, false negative, false positive
Answer: B
Explanation:
FortiSIEM incidents can use status values that track the incident lifecycle, including active investigation, closure, clearing, and resolution. These statuses help analysts manage whether an incident is still open, has been cleared by conditions, has been closed, or has been resolved.
NEW QUESTION # 36
Refer to the exhibit. According to the automation policy configuration shown in the exhibit, what happens if an associated rule triggers?
- A. FortiSIEM sends an email.
- B. FortiSIEM executes all the actions.
- C. FortiSIEM runs the remediation script.
- D. FortiSIEM runs everything except the playbook, because the playbook and the remediation script perform similar functions.
Answer: B
Explanation:
All selected actions in the automation policy are executed when the associated rule triggers. In this configuration, email/webhook notification, remediation/script execution, playbook execution, and case creation are all enabled.
NEW QUESTION # 37
What can you use to send data to FortiSIEM for user and entity behavior analytics (UEBA)?
- A. SNMP
- B. SSH
- C. FortiSIEM worker
- D. FortiSIEM agent
Answer: D
NEW QUESTION # 38
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?
- A. A list of connections ordered by destination IP address hit count
- B. A list of connections ordered by the number of unique connections started by each source IP address
- C. A list of connections between unique source and destination IP addresses
- D. A running count of connections, regardless of source or destination
Answer: C
Explanation:
With Source IP and Destination IP as grouping attributes, and COUNT(Matched Events) included, FortiSIEM will display a list of unique source-destination IP pairs along with the number of allowed connections between each pair. This configuration summarizes connection activity by unique communication paths.
NEW QUESTION # 39
Refer to the exhibits.
You are troubleshooting why the rule shown in the exhibit is generating incidents for successful Remote Desktop Protocol (RDP) connections with correct logins. It should only be triggering when a person fails to log in three or more times to the target device when connecting with RDP.
What is causing the rule to be triggered by correct login events? (Choose one answer)
- A. The attribute types in the subpatterns do not match.
- B. The subpattern relationship RDP_Connection:User = Failed_Logon:User never matches.
- C. The RDP login is different from the login used to access the target device.
- D. The Boolean between the subpatterns is incorrect.
Answer: D
Explanation:
The rule is triggering on successful RDP connection events because the Next operator between the two subpatterns is set to OR . The FortiSIEM Study Guide explains that multiple subpattern rules are used when patterns must occur within a specific time period or when one of several patterns proves that an incident condition exists. It lists the OR operator as: "Subpattern X OR Subpattern Y occurred within the Time Window." The same Study Guide further explains that if multiple patterns are used, FortiSIEM requires a next operator, and in the OR example, "an event that matches either" subpattern will trigger. It also states that because the next operator is OR, the constraint between the two subpatterns is not enforced.
In the exhibit, Subpattern 1 matches RDP traffic on TCP/UDP port 3389 from FortiGate traffic- forward events, while Subpattern 2 matches logon failure events with COUNT(Matched Events) > = 3.
Because the rule uses OR, FortiSIEM can trigger when only the RDP connection subpattern matches, even if the failed-logon subpattern does not match. The correct logic should require both subpatterns to match with the intended relationship constraints, not either subpattern independently.
NEW QUESTION # 40
When configuring anomaly detection machine learning, in which step must you select the fields to analyze?
- A. Design
- B. Schedule
- C. Prepare Data
- D. Train
Answer: A
Explanation:
The correct answer is A. Design. In the FortiSIEM 7.4 User Guide's anomaly detection workflow, the first configuration step is Step 1: Design. In that step, FortiSIEM requires the analyst to identify the fields that will be analyzed by the machine learning job. The guide states that under Design, the analyst must identify Fields to Analyze, and explains that these fields are considered for anomaly detection and must currently be numerical fields. The guide also identifies the time field requirement for statistical deviation algorithms and notes that a FortiSIEM report is used to provide the dataset. The Prepare Data step comes later and is used to load or prepare the data source for training. The Train step runs the algorithm against the prepared dataset. The Schedule step is used after training to run inference.
Therefore, the selection of fields to analyze belongs to the Design phase, not Prepare Data, Train, or Schedule. This sequence matters because FortiSIEM must know which numerical fields are relevant before it can prepare, train, or run inference on the machine learning job.
NEW QUESTION # 41
When using user and entity behavior analytics (UEBA) on FortiSIEM, what can you use to dynamically supply a list of suspicious IP addresses to FortiGate for blocking?
- A. FortiSIEM lookup tables
- B. FortiSIEM watchlists
- C. Secure Copy Protocol (SCP)
- D. The Fortinet Security Fabric
Answer: B
Explanation:
FortiSIEM watchlists can dynamically maintain suspicious entities, such as IP addresses identified through UEBA rules or analytics. These watchlists can then be used to provide FortiGate with an updated list of IP addresses for automated blocking.
NEW QUESTION # 42
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.)
- A. Send Email/SMS/Webhook to the target users.
- B. Run Playbook on Incident Trigger.
- C. Run Remediation/Script.
- D. Open Remedy ticket using the configuration set in Analytics.
- E. Invoke an Integration Policy.
Answer: B,C
Explanation:
The correct answers are D. Run Remediation/Script and E. Run Playbook on Incident Trigger .
FortiSIEM can block an IP address on a FortiGate through a remediation script or through a FortiSOAR playbook/connector workflow. The FortiSIEM Analyst Study Guide explains that for automatic remediation, you define a remediation script for a scenario, and that mitigation scripts can "block an IP address in a firewall" or disable a user in Active Directory. It also states that, when an automation policy is triggered and the remediation script option is enabled, FortiSIEM uses incident data and runs the script to quarantine or block the offending IP address on FortiGate.
FortiSIEM 7.4 also supports automatic playbook execution from an automation policy. The 7.4 User Guide states that under Admin > Settings > Automation Policy , you can choose Run Playbook on Incident Trigger and select a playbook. The same guide explains that FortiSOAR playbooks can call connectors, and the Fortinet FortiOS connector can perform actions such as Block IP Address on a FortiGate firewall.
Email, Remedy tickets, and generic integration policies are notification/ticketing workflows, not the direct FortiGate IP-block actions.
NEW QUESTION # 43
Refer to the exhibit. If you group the events by Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?
- A. Five
- B. Two
- C. Four
- D. Three
Answer: D
Explanation:
When grouped by Reporting IP, Event Type, and User, FortiSIEM consolidates rows sharing the same values for these attributes.
Reporting IP: all are 10.1.1.1
Event Type: all are Logon
Users: Mike, Bob, and Alice
Thus, FortiSIEM will display three results, one for each user.
NEW QUESTION # 44
Refer to the exhibit.
An analyst wants to perform a KMeans machine learning (ML) job on this data.
How many N clusters would be a good fit for the data?
- A. Two
- B. 0
- C. One
- D. 1
Answer: A
Explanation:
The scatter plot shows two visually distinct groupings of data points, making two clusters an appropriate fit for a KMeans ML job.
NEW QUESTION # 45
Refer to the exhibit.
An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?
- A. The Event Type refers to a CMDB lookup and should be an Event lookup.
- B. The Destination Host Name value is not fully qualified.
- C. The Aggregate attribute is too restrictive.
- D. The Group By attributes restricts which events are counted.
Answer: D
Explanation:
The correct answer is C because the rule's Group By attributes determine how events are grouped before the aggregate condition is evaluated. The Study Guide explains that rule conditions are built from subpatterns consisting of event attribute filters and aggregation functions. It also explains that a subpattern combines filters, aggregate, and group by fields to form the rule logic. In this case, the filters may return matching events in Analytics, but the rule still may not trigger because the aggregate condition is calculated separately for each unique Group By combination. The exhibit groups by Destination IP and User while applying COUNT(Source IP) > = 2. This means FortiSIEM does not count all matching events together. Instead, it counts only events that share the same Destination IP and User combination. If no single grouped combination reaches the aggregate threshold, no incident is created. The issue is not the event lookup, not the Destination Host Name format, and not necessarily the aggregate expression itself. The grouping logic is what restricts the counted event set.
NEW QUESTION # 46
Refer to the exhibit.
What will happen when a device being analyzed by the machine learning configuration shown in the exhibit has consistently high memory utilization?
- A. FortiSIEM will trigger an incident for high memory utilization.
- B. FortiSIEM will update the regression tables for memory utilization, and average sent and received bytes.
- C. FortiSIEM will update the model with a higher memory utilization average value.
- D. FortiSIEM will lower the CPU utilization trigger requirement for CPU utilization.
Answer: C
Explanation:
The exhibit shows a machine learning Regression configuration. In FortiSIEM regression, selected numerical fields are used as predictors, and another field is selected as the value to predict. The FortiSIEM 7.4 User Guide's Machine Learning section lists Regression separately and describes the training workflow, including selecting fields used by the algorithm. The exhibit shows Memory Utilization, Sent Bytes, and Received Bytes selected under Fields to use for Prediction, while CPU Utilization is selected under Field to Predict. This means Memory Utilization is an input variable used by the model. If memory utilization is consistently high during training or retraining, that higher value becomes part of the learned model pattern. FortiSIEM does not automatically trigger a high-memory incident merely because a regression input value is high; an incident would require inference behavior and an anomaly action or rule configuration. Option C is also wrong because FortiSIEM does not dynamically lower a CPU trigger threshold just because memory is high. The correct behavior is model update based on the higher observed input value.
NEW QUESTION # 47
Refer to the exhibit.
How was this incident cleared?
- A. FortiSIEM cleared the incident automatically after 24 hours.
- B. The analyst manually cleared the incident from the incident table.
- C. The endpoint was rebooted and sent an all-clear signal to FortiSIEM.
- D. The incident was cleared automatically by the rule.
Answer: D
Explanation:
The Incident Status shows " Auto Cleared " , and the Cleared Reason states: " Rule has not been triggered for
20 minutes. " This indicates that the incident was automatically cleared by the rule logic after a defined period of inactivity.
The correct answer is C because the exhibit shows the incident status as Auto Cleared and the cleared reason indicates that the rule condition was no longer being triggered. The Study Guide explains that FortiSIEM supports clear conditions and auto-clearing behavior at the rule level. It states that if a time-based clear condition is configured, FortiSIEM can auto-clear the incident after the last occurrence if the trigger condition no longer exists. It also explains pattern-based clear behavior: FortiSIEM evaluates clear-condition subpatterns and compares attributes from the clear condition with the original incident attributes. If the configured attributes match, the incident status is set to auto cleared. In the exhibit, the cleared reason says the rule has not been triggered for a defined number of minutes. That is not a manual action by the analyst and not an endpoint-generated all-clear signal. It is FortiSIEM's rule-based clearing logic. Option B is also wrong because the exhibit shows a specific rule inactivity period, not a generic 24-hour timeout.
NEW QUESTION # 48
In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)
- A. FortiSIEM Case
- B. Pop-up window
- C. Email
- D. Syslog
Answer: A,C
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 # 49
Refer to the exhibit.
Which value would you expect the FortiSIEM parser to use to populate the Application Name field?
- A. applist
- B. SSL
- C. Network.Service
- D. wan1
Answer: B
Explanation:
The Application Name field in FortiSIEM is typically populated using the value of the app field in the raw log. In this event, app="SSL", so "SSL" is the expected application name parsed by FortiSIEM.
NEW QUESTION # 50
Refer to the exhibit. What will happen when a device being analyzed by the machine learning (ML) configuration shown in the exhibit has a consistently high memory use?
- A. FortiSIEM will lower the CPU use trigger requirement for CPU use.
- B. FortiSIEM will update the regression tables for memory use, and average sent and received bytes.
- C. FortiSIEM will trigger an incident for high memory use.
- D. FortiSIEM will update the model with a higher memory use average value.
Answer: D
Explanation:
The ML regression model uses memory utilization, sent bytes, and received bytes as prediction inputs for CPU utilization. If memory usage remains consistently high, FortiSIEM adapts the learned baseline and updates the model with a higher average memory utilization value over time.
NEW QUESTION # 51
An analyst wants to create a rule from a new analytic search they just performed. Which method is the most efficient way for you to create the rule?
- A. Manually re-create the analytics search in the rule configuration.
- B. Make a new rule using the Create Rule option in the Actions menu.
- C. Copy and paste the raw analytics search text into a rule subpattern.
- D. Save the search as a template, and create a new rule from the template.
Answer: B
Explanation:
Using the Create Rule option directly from the Actions menu is the most efficient method because it automatically converts the existing analytic search into a rule structure without requiring manual reconfiguration.
NEW QUESTION # 52
What are the four incident status values on FortiSIEM?
- A. Active, cleared, cleared manually, false positive
- B. Active, closed, cleared, resolved
- C. Active, auto closed, cleared manually, resolved
- D. Active, auto cleared, cleared manually, system cleared
Answer: D
Explanation:
FortiSIEM incidents can have four status values: Active, Auto Cleared, Cleared Manually, and System Cleared. These statuses track the lifecycle of an incident-from detection (Active) to resolution - whether it's cleared automatically by correlation logic or manually by an analyst.
NEW QUESTION # 53
When using user and entity behavior analytics (UEBA) on FortiSIEM, what must you use to dynamically supply a list of IP addresses to a FortiGate device for blocking purposes?
- A. Watchlists
- B. SCP
- C. API Connection
- D. Lookup tables
Answer: A
NEW QUESTION # 54
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