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CrowdStrike CCSE-204 Exam Syllabus Topics:

Section	Objectives
Topic 1: Exam domains (official detailed syllabus not publicly disclosed)	- CrowdStrike SIEM and log analysis fundamentals - Security event ingestion, normalization, and correlation concepts - Threat detection and incident investigation workflows in CrowdStrike platform - Operational use of CrowdStrike Falcon modules for SIEM engineering tasks - Dashboards, reporting, and alerting configuration

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CrowdStrike Certified SIEM Engineer Sample Questions (Q34-Q39):

NEW QUESTION # 34
An analyst creates a rule to detect privilege escalation by monitoring changes to administrative group memberships across Active Directory systems.

A. Application logs
B. DNS monitoring
C. Identity and access logs
D. Web traffic logs

Answer: C

Explanation:
Privilege escalation is tracked through identity and access logs.

NEW QUESTION # 35
An event has the following fields:

Which CQL query will output the frequency of a unique set of ComputerName, UserName, CommandLine?
#event_simpleName = ProcessRollup2 FileName = ssh.exe CommandLine = /\s-

A. R\s.+\s-p/ | table([ComputerName, UserName, CommandLine]) | count()
#event_simpleName = ProcessRollup2
B. | FileName = ssh.exe
| CommandLine = /\s-R\s.+\s-p/
| groupBy([ComputerName, UserName, CommandLine], function=count())
#event_simpleName = ProcessRollup2 FileName = ssh.exe CommandLine = /\s-
C. | FileName = ssh.exe
| CommandLine = /\s-R\s.+\s-p/
| table([ComputerName, UserName, CommandLine], function=count())
#event_simpleName = ProcessRollup2
D. R\s.+\s-p/ | groupBy([ComputerName, UserName, CommandLine])

Answer: B

Explanation:
Using groupBy() with function=count() aggregates the events by the unique combination of ComputerName, UserName, and CommandLine, producing the frequency of each unique set.
This approach correctly handles the CQL syntax for counting occurrences.

NEW QUESTION # 36
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?

A. Clone the parser and manually apply the timezone parameter
B. Adjust the log source to reflect the correct timezone before sending logs
C. Clone the parser and drop the timestamp field, use ingesttimestamp instead
D. Clone the parser and change the timestamp field name

Answer: A

Explanation:
When logs have timestamps in a different timezone, cloning the parser and specifying the correct timezone parameter in the parseTimestamp() function ensures accurate time parsing without altering field names or losing data.

NEW QUESTION # 37
While ingesting Falcon telemetry into a SIEM, analysts notice inconsistent field mappings across different log sources, causing failed correlation rule execution.

A. Enable encryption
B. Increase storage capacity
C. Apply normalization and parsing rules
D. Disable correlation rules

Answer: C

Explanation:
Normalization and parsing ensure consistent field structures required for correlation.

NEW QUESTION # 38
Which command helps visualize in real time whether sources and sinks are working properly in the Log Collector?

A. journalctl -u logscale-collector
B. logscale-collector check
C. logscale-collector monitor
D. logscale-collector --status

Answer: C

Explanation:
The correct answer is B .
CrowdStrike's Falcon LogScale Collector debug documentation says the monitor command launches a monitor terminal application and can be used to see a live view of the running state of the collector. It explicitly states that the running sources, queues and sinks can be inspected in real time . That exactly matches the question.
Why the other options are incorrect:
A can help review service logs, but it is not the documented real-time visualization command for sources and sinks.
C and D do not match the documented command for this purpose in the collector troubleshooting documentation.

NEW QUESTION # 39
......

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