100% Pass 2026 Updated CrowdStrike CCSE-204: CrowdStrike Certified SIEM Engineer Valid Exam Simulator

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CrowdStrike CCSE-204 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Content Creation	20%	- Correlation rules creation, tuning and management - CQL query design, building and optimization - Content deployment and version control - Dashboard creation and customization - Lookup file management and utilization - First-party vs third-party detections
Topic 2: User Management	20%	- Custom role creation and permission assignment - Audit log monitoring and usage - Multi-factor authentication (MFA) setup - SSO/SAML configuration and claim mapping - Role-based access control (RBAC) and built-in roles - Repository-level access control
Topic 3: Data Ingestion	20%	- Built-in and custom data connector configuration - Fleet management and log collector deployment - First-party vs third-party data sources - Connector components and management - Troubleshooting ingestion and connectivity issues - Ingestion methods and integration strategies
Topic 4: Parsing	20%	- CrowdStrike Parsing Standards and normalization - Log format identification and handling - Monitoring and resolving parsing errors - Parser creation, modification and cloning - AI-generated parsers and advanced syntax - Parser testing and validation
Topic 5: Automation and Integration	20%	- API access and token management - External system integration - Automated response and remediation - Integration with FalconPy and other tools - Falcon Fusion SOAR workflow design and automation

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CrowdStrike Certified SIEM Engineer Sample Questions (Q60-Q65):

NEW QUESTION # 60
What is the maximum number of active correlation rules in a CID?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
In a CrowdStrike instance (CID), the maximum number of active correlation rules that can be applied simultaneously is 500, ensuring system performance and manageability.

NEW QUESTION # 61
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login

A. JSON
B. Regex
C. Syslog
D. Key-value

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 # 62
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "web01", "message": "Out of memory"} Which parsing function is correct to add a missing timezone field?

A. kvParse() | findTimestamp(timezone="America/New_York")
B. parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts)
C. kvParse() | findTimestamp(field=ts, timezone="Europe/London")
D. parseJson() | parseTimestamp("dd/MMM/yyyy:HH:mm:ss Z", timezone="Europe/Paris", field=ts)

Answer: B

Explanation:
The correct answer is D . CrowdStrike LogScale's timestamp parsing documentation gives this exact pattern as the example for a JSON event whose ts field contains 2018/11/01 14:31:10 with no timezone present. The documented solution is:
parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts) This works because the event is JSON, so parseJson() is the right first step, and the timestamp format matches the sample exactly. Since the timestamp string does not include timezone information, CrowdStrike documentation says you must provide a timezone parameter to parseTimestamp().
Why the other options are incorrect:
A is wrong because the format string does not match the timestamp. The event uses 2018/11/01 14:31:10, which is yyyy/MM/dd HH:mm:ss, not dd/MMM/yyyy:HH:mm:ss Z. Also, the sample timestamp does not include a Z timezone token in the raw string. B and C are wrong because kvParse() is for key-value logs, not JSON logs, and this event is clearly JSON. CrowdStrike's built-in parser documentation distinguishes JSON parsing from KV parsing, and the timestamp example for missing timezone specifically uses parseJson() with parseTimestamp().

NEW QUESTION # 63
Which CQL statement below includes correct placement of the AND statements and the pipe symbol?

A. #sourcefile="jobfilename" AND stdout=/\[[\+]\]/ | groupBy([hostname],
function=collect([hostname,stdout])) | stdout != "" AND stdout != "* No artifacts *" | select([hostname,stdout])
B. #sourcefile="jobfilename" | stdout=/\[[\+]\]/ AND groupBy([hostname],
function=collect([hostname,stdout])) AND stdout ! = "" | stdout != "* No artifacts *" | select([hostname,stdout])
C. #sourcefile="jobfilename" | stdout=/\[[\+]\]/ | groupBy([hostname],
function=collect([hostname,stdout])) | stdout != "" AND stdout != "* No artifacts *" AND select([hostname,stdout])
D. #sourcefile="jobfilename" AND stdout=/\[[\+]\]/ | groupBy([hostname],
function=collect([hostname,stdout])) AND stdout != "" AND stdout != "*
No artifacts *" | select([hostname,stdout])

Answer: A

Explanation:
In CQL, filters combined with AND are applied before the pipe (|) operator, which is used to chain functions like groupBy and select. This syntax correctly places the AND conditions for filtering and pipes for processing steps.

NEW QUESTION # 64
An organization integrates CrowdStrike Falcon with SIEM and wants to ensure compliance with regulatory requirements for log retention and auditing.

A. Ignore compliance
B. Disable logging
C. Implement retention policies and audit controls
D. Reduce storage

Answer: C

Explanation:
Retention and auditing are essential for compliance and investigations.

NEW QUESTION # 65
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