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CrowdStrike CCSE-204 Exam Syllabus Topics:

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

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CrowdStrike Certified SIEM Engineer Sample Questions (Q30-Q35):

NEW QUESTION # 30
You are a Next-Gen SIEM Engineer responsible for parser creation. An internal requirement is to maintain both the Vendor and ECS field names within the Fields panel in Advanced Event Search.
What is the correct method for adding the ECS field while maintaining the Vendor field in a parser?

A. As Parameter
B. Assignment Operator
C. Regular Expression Field Extraction
D. Field Function

Answer: B

Explanation:
Using the Assignment Operator in a parser allows you to map a parsed value to both the Vendor field and the corresponding ECS-compliant field, ensuring both are available in the Fields panel for Advanced Event Search.

NEW QUESTION # 31
The parseJson()function would be used to parse which log message format from the list below?

A. 192.168.1.1 [192.168.1.1] - - [10/May/2024:14:23:11 +0000] "GET/index.html"
B. { "level": "info", "msg": "User login", "user": "john_doe" }
C. level=debug msg="Disconnected" host=app01
D. 2024-05-10T14:23:11Z INFO Service started

Answer: B

Explanation:
The parseJson() function is used to parse logs that are in JSON format, allowing extraction of fields such as level, msg, and user into structured, searchable data.

NEW QUESTION # 32
Which CQL statement below includes correct placement of the AND statements and the pipe symbol?

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

Answer: C

Explanation:
The correct answer is C . In CQL, boolean conditions such as AND belong inside filter expressions, while pipeline functions like groupBy() and select() must be separated with the pipe (|) operator. CrowdStrike syntax guidance shows that functions are chained through the pipeline and should not be combined with AND. Option C correctly uses AND for the filter logic and uses pipes to separate the aggregation and projection steps.

NEW QUESTION # 33
Review the log sample below:

What type of parser should be used to extract fields and values from this log?

A. XML
B. Key-Value
C. JSON
D. CSV

Answer: D

Explanation:
The log is a comma-separated string with consistent ordering of fields, making it suitable for parsing with a CSV parser, which can extract each field based on the delimiter.

NEW QUESTION # 34
You are reviewing logs and find that the content appears as one large block of text within the
@rawstringfield for incoming firewall logs. The other expected structured fields are empty.
What is the cause of this issue?

A. The timestamp format is incorrect
B. The ingestion token is invalid
C. The sink was overloaded
D. The parser was incorrect

Answer: D

Explanation:
If logs appear only in @rawstring and structured fields are empty, it indicates that the parser failed to extract fields. This usually happens when the parser is misconfigured or does not match the log format.

NEW QUESTION # 35
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