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CrowdStrike CCSE-204 Exam Syllabus Topics:

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

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CrowdStrike Certified SIEM Engineer Sample Questions (Q29-Q34):

NEW QUESTION # 29
While ingesting Falcon telemetry into a SIEM, analysts notice inconsistent field mappings across different log sources, causing failed correlation rule execution.

Answer: B

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


NEW QUESTION # 30
A Falcon Log Collector has been configured with 4 sinks of type memory, each having a queue size of 2GB.
What is the minimum memory requirement produced by this configuration?

Answer: D

Explanation:
Each memory sink requires its queue size plus an overhead of 500 MB. With 4 sinks of 2 GB each:
Memory required = (2 GB + 0.5 GB) × 4 = 2.5 GB × 4 = 10 GB.
This accounts for the minimum memory needed for all configured sinks.


NEW QUESTION # 31
Which Falcon LogScale Collector output format would you use if your downstream SIEM requires raw nested event data?

Answer: B

Explanation:
CrowdStrike SIEM Connector and LogScale guidance states that JSON output preserves the raw nested JSON structure of incoming event data. This is the correct choice when a downstream system expects full nested event content instead of flattened key-value pairs. Syslog, CEF, and LEEF are transformation formats intended for compatibility with other log analysis tools and normalized ingestion workflows.


NEW QUESTION # 32
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-

Answer: C

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 # 33
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login

Answer: C

Explanation:
The log follows the standard syslog format (timestamp, hostname, process, message). The default Syslog parser is designed to extract fields from such logs efficiently.


NEW QUESTION # 34
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