[Q21-Q39] Verified NSE6_FSM_AN-7.4 dumps Q&As – Pass Guarantee or Full Refund [Oct-2026]

Posted On October 9, 2026

Verified NSE6_FSM_AN-7.4 dumps Q&As – Pass Guarantee or Full Refund [Oct-2026]

NSE6_FSM_AN-7.4 PDF Dumps | Oct 09, 2026 Recently Updated Questions

NO.21 You want FortiSIEM to automatically add three zero trust network access (ZTNA) tags to a device when that device triggers a custom rule. You want FortiSIEM to push these ZTNA tags to multiple FortiClient EMS servers in the organization. How can you accomplish this?

Create a syslog connection from the FortiClient EMS servers to retrieve ZTNA tag information from FortiSIEM.

Create multiple playbooks, one for each FortiClient EMS server, each with a connector for a ZTNA tag.

Create a single playbook with multiple connectors, one for each FortiClient EMS.

Create multiple automation policies, each one pushing a tag to a different FortiClient EMS server.

A single playbook can contain multiple connectors, allowing FortiSIEM to push the required ZTNA tags simultaneously to multiple FortiClient EMS servers when the custom rule is triggered.

NO.22 Refer to the exhibit. If you group these events by the Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?

Five

Two

Six

Three

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.

NO.23 Refer to the exhibit.

If you apply this Group By and Display Fields configuration to a list of network connections, which information will FortiSIEM display?

A running count of connections, regardless of their source and destination

A list of connections ordered by the number of unique connections started by each unique source IP address

A list of connections between unique source and destination IP addresses

A list of connections ordered by the total amount of data sent between unique devices

Grouping by Source IP and Destination IP causes FortiSIEM to aggregate events into unique source-to-destination connection pairs. The matched-events count is displayed for each unique pair, showing how many connections or matching events exist for that grouped relationship.

NO.24 Refer to the exhibit. What does the Group: Windows value refer to?

A Windows Active Directory (AD) user group

A configuration management database (CMDB) device group

A SOC analyst group

A FortiSIEM user group

In FortiSIEM, the value Group: Windows refers to a CMDB device group containing devices categorized as Windows systems. It is used to match event attributes such as Source IP against devices in that CMDB group.

NO.25 An analyst wants to create a rule from a newly created analytics search. What is the quickest method?

On the upper menu bar on any tab, click the pencil icon.

On the Analytics tab, click the New button next to the Filter By box.

On the Analytics tab, click Actions > Create Rule.

Create a new rule under Resources > Rules and fill in the search details.

The quickest way to create a rule from an existing analytics search in FortiSIEM is to go to the Analytics tab and select Actions > Create Rule. This automatically converts the current search filters and parameters into a correlation rule template, saving time compared to manually re- entering all the search criteria.

NO.26 Which two types of information can FortiSIEM retrieve from FortiClient EMS through an external connection? (Choose two.)

Device login credentials

Vulnerability scan events

Devices with FortiSIEM agents

Zero trust network access (ZTNA) tags

FortiSIEM can integrate with FortiClient EMS to retrieve vulnerability scan events and ZTNA tag information. These integrations enhance endpoint visibility and support automated security and access-control workflows.

NO.27 Refer to the exhibit.

The configuration shown in the exhibit is incorrect.
What must you change to allow this configuration to be successfully applied to FortiSIEM?

The Train factor must be 70% or greater.

Run Mode must be set to ML.

Only one AVG type field must be selected under Fields to use for Prediction.

The selection in Fields to use for Prediction and Field to Predict must match.

The Run Mode is set to Local, which is not valid for training machine learning models in FortiSIEM. To apply this configuration correctly, the Run Mode must be set to ML, which enables proper model training and prediction using selected fields.

NO.28 How does FortiSIEM update the incident details if the same rule triggers repeatedly?

FortiSIEM updates the Incident Count value and Last Seen timestamp.

FortiSIEM generates a new incident each time the rule triggers and updates all the First Seen and Last Seen timestamps.

FortiSIEM generates a new incident based on the Rule Frequency value, and updates the First Seen and Last Seen timestamps.

FortiSIEM changes the incident status to Repeated, and updates the Last Seen timestamp.

When the same rule triggers repeatedly for an existing incident, FortiSIEM updates the Incident Count and refreshes the Last Seen timestamp while maintaining the original incident record.

NO.29 Which information can FortiSIEM retrieve from FortiClient EMS through an API connection?

Host software versions

FortiSIEM license

Host login credentials

ZTNA tags

FortiSIEM can retrieve ZTNA tags from FortiClient EMS through an API connection, enabling dynamic user and device classification for policy enforcement and incident response.

NO.30 Refer to the exhibit.

As shown in the exhibit, why are some of the fields highlighted in red?

Unique values cannot be grouped

The attribute COUNT(Matched Events) is an invalid expression.

No RAW Event Log attribute information is available.

The Event Receive Time attribute is not available for logs.

The fields are highlighted in red because unique values such as Event Receive Time and Raw Event Log cannot be used in group-by operations. Grouping requires aggregatable or consistent values across events, while these fields are unique to each event, making them incompatible for grouping.
The correct answer is A because the highlighted fields are not valid for that grouped/aggregated display configuration. The FortiSIEM 7.4 User Guide notes that some event attributes, functions, and queries are not supported in specific analytics result-filter and display contexts. It lists date fields, including examples such as Event Receive Time , and also lists Raw Event Log and Binary Raw Event Log among unsupported fields for that context. The reason is practical: grouping requires stable values that can combine multiple events into meaningful grouped rows. Attributes such as Event Receive Time and Raw Event Log are highly specific to individual events. If every event has its own receive timestamp or unique raw log content, grouping by those fields defeats aggregation and can create one row per event rather than meaningful grouped output. COUNT (Matched Events) itself is a valid aggregate expression when used correctly. Event Receive Time is available in logs, but it is not appropriate as a grouped field in the configuration shown. Therefore, the red highlighting indicates invalid grouped fields caused by unique/non-groupable values.

NO.31 Refer to the exhibit.

You want to create a dashboard like the one shown in the exhibit on your FortiSIEM device.
Which item defines the data that these widgets display?

FortiSIEM reports

FortiSIEM incidents

FortiSIEM discovery rules

FortiSIEM UEBA tags

FortiSIEM dashboard widgets display data based on reports. Each widget uses an underlying report or analytics query to define the dataset, aggregation, and visualization shown on the dashboard.

NO.32 Refer to the exhibits.

Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?

Server A will generate one incident and Server B will generate one incident.

Server A will not generate any incidents and server B will generate one incident.

Server A will not generate any incidents and Server B will not generate any incidents.

Server A will generate one incident and Server B will not generate any incidents.

The correct answer is D because Server A satisfies the rule’s threshold and count requirements, while Server B does not. The Study Guide explains that a FortiSIEM subpattern consists of Filter , Aggregate , and Group By components. It also states that the Aggregate function defines how many or what metric values must match during the time window, while Group By controls how the matching events are grouped into rows. The performance metrics lesson explains that FortiSIEM collects performance and availability data, converts polling results into logs, and uses those metrics for performance, availability, resource utilization, and baselining. In the exhibit, the aggregate evaluates CPU utilization against the device’s CPU critical threshold and also requires a matched-event count of at least two within the 10-minute window. Server A has CPU values above its critical threshold enough times in the window, so it generates one incident. Server B has a lower configured threshold but its collected CPU values do not satisfy the required aggregate condition for the grouped server. Therefore, only Server A generates an incident.

NO.33 Refer to the exhibit.

The analyst is troubleshooting the analytics query shown in the exhibit.
Why is this search not producing any results?

The Time Range is set incorrectly.

The inner and outer nested query attribute types do not match.

You cannot reference User and Event Type attributes in the same search.

The Boolean operator is wrong between the attributes.

The search fails because nested analytics queries require the outer query attribute type to match the inner query display-column data type. The FortiSIEM Study Guide explicitly explains this rule in the Nested Query section: “Another important aspect to understand is that the data value types must match.” It further explains that each inner query display column has a data value type, such as IP, string, or integer, and the outer query attribute must match that type. The FortiSIEM 7.4 User Guide states the same operational requirement: for a nested query to work correctly, “the data type of the filter attribute in the outer query must match up with the data type of one certain display column in the inner query.” Therefore, if the inner query returns a string attribute but the outer query compares it against an IP-type attribute, FortiSIEM cannot produce a valid match.
The issue is not the time range, not the use of User and Event Type together, and not the Boolean operator. It is an attribute type mismatch between the query and subquery.

NO.34 Refer to the exhibit.

You are investigating an issue with two destination IP addresses, but you are not getting any results from the search.
Based on the filters shown in the exhibit, why is this search returning no results?

You are using the wrong Boolean operator in the Next column.

The two items are not grouped in parentheses ().

You are using an invalid IP address in the Value column.

You are using an incorrect entry in the Operator column.

The search is using an AND condition between two different values for the same Destination IP attribute. A single event cannot have both destination IP addresses at the same time, so the filter returns no results. The condition should use OR to search for events matching either destination IP address.

NO.35 In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)

FortiSIEM Case

Syslog

Pop-up window

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.

NO.36 From which two sources can you import data to train FortiSIEM machine learning? (Choose two.)

Syslog archives

CSV files

FortiSIEM reports

SQL database

NO.37 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 list of connections ordered by destination IP address hit count

A list of connections between unique source and destination IP addresses

A running count of connections, regardless of source or destination

A list of connections ordered by the number of unique connections started by each source IP address

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.

NO.38 When configuring machine learning (ML), in which step can you modify how the model fits the training data set?

Train

Prepare Data

Statistics

Design

NO.39 Refer to the exhibit. What is this rule attempting to match?

Failed VPN logon attempts from three or more different outside countries.

Failed VPN logon attempts from three or more different sources inside the home country.

Excessive VPN logon failures from a source inside the home country.

Failed VPN logon events from a source outside the home country.

The rule matches VPN logon failure events where the Source Country is not part of the GeoCountries group named My Home. The aggregate condition requires at least three matching events grouped by Source IP and User, identifying repeated failed VPN logon attempts from a source outside the home country.

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