NSE6_FSM_AN-7.4 Testking - NSE6_FSM_AN-7.4 Prüfungsübungen

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Objectives
Topic 1: FortiEDR and Security Policy Integration	- FortiEDR Security Configuration 1. Configure communication control policy 2. Configure security policies 3. Configure playbooks 4. Explain Fortinet Cloud Service (FCS)
Topic 2: Rules and Incident Management	- Incidents and Notifications 1. Manage and tune incidents 2. Configure remediation options 3. Configure notification policies - Rules and Alerts 1. Identify various rule components 2. Utilize rule subpatterns, aggregation, group by 3. Configure FortiSIEM analytics rules
Topic 3: Analytics and Search	- Query and Event Analysis 1. Apply group by and data aggregation 2. Perform nested query lookups 3. Perform CMDB and lookup table queries 4. Build queries from search results and events
Topic 4: Advanced Analytics and Integrations	- ML, UEBA, and ZTNA 1. Integrate UEBA data into rules and dashboards 2. Configure machine learning (ML) settings 3. Describe ZTNA integration in FortiSIEM operations

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst NSE6_FSM_AN-7.4 Prüfungsfragen mit Lösungen (Q50-Q55):

50. Frage
Refer to the exhibit.

If you group these events by the User and Count attributes, how many unique results will FortiSIEM display?

A. Five
B. Four
C. Six
D. Three

Antwort: A

Begründung:
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.

51. Frage
You need a model that predicts a target field based on other fields in a dataset and then triggers an anomaly if the value does not match the prediction. Which machine learning (ML) algorithm will you use to build this type of model?

A. Forecasting
B. Regression
C. Classification
D. Anomaly detection

Antwort: B

Begründung:
Regression models predict the value of a target field using other fields as predictors. FortiSIEM can then generate anomalies when the observed value significantly deviates from the predicted value.

52. Frage
Refer to the exhibit.

FortiSIEM is receiving syslog events from a firewall.
You are trying to search raw event logs for traffic from the last two hours that contain the keyword
"UDP". However, you are getting no results from the search.
Based on the filter shown in the exhibit, why are you getting no search results?

A. You can perform raw event log searches using only an Event Keyword search.
B. The AND operator in the Next column is the wrong operator for this type of search.
C. You are using udp in the Value field, but you must use UDP.
D. The = operator in the Operator column is the wrong operator for this type of search.

Antwort: D

Begründung:
The = operator requires an exact match of the entire Raw Event Log field. To search for logs containing the keyword UDP within the raw log text, a contains-style operator must be used instead of an exact equality comparison.

53. Frage
You want to build a query that includes only events that contain a username.
What is a valid analytics query that will perform this type of search?

A. User CONTAIN *
B. User IS VALID
C. User STARTS_WITH *
D. User IS NOT NULL

Antwort: D

Begründung:
A query using IS NOT NULL returns only events where the User attribute has a value. This is the valid way to filter analytics results to events that contain a username.

54. Frage
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?

A. Create multiple automation policies, each one pushing a tag to a different FortiClient EMS server.
B. Create a single playbook with multiple connectors, one for each FortiClient EMS.
C. Create a syslog connection from the FortiClient EMS servers to retrieve ZTNA tag information from FortiSIEM.
D. Create multiple playbooks, one for each FortiClient EMS server, each with a connector for a ZTNA tag.

Antwort: B

Begründung:
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.

55. Frage
......

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