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CrowdStrike CCSE-204 Exam Syllabus Topics:

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

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CrowdStrike Certified SIEM Engineer Sample Questions (Q44-Q49):

NEW QUESTION # 44
You are creating an AI-generated parser to process and normalize log data from various sources.
How would you ensure the parser accurately interprets and categorizes the log data?

A. Create a set of log examples to match log patterns from different sources
B. Ensure the parser has a minimum of 100 lines
C. Write the parser in a high-level programming language (Python or Java)

Answer: A

Explanation:
The correct answer is B . CrowdStrike states that AI-generated parsers are built from sample log records .
Falcon Next-Gen SIEM analyzes those samples to learn the logs' structure and content, so providing representative examples is the documented way to help the parser interpret and categorize data correctly.
Options A and C are not supported by CrowdStrike documentation. There is no requirement for a minimum parser length, and Next-Gen SIEM parsers are not written as Python or Java programs; CrowdStrike's parser template shows a parser schema and script structure specific to Next-Gen SIEM.

NEW QUESTION # 45
Which sequence correctly describes the process for duplicating a workflow in Fusion SOAR?

A. Go to Fusion SOAR > Fusion SOAR > Workflows > Select the checkbox next to the workflow you want to duplicate > Click "Actions" at the top of the page > Select "Create Copy" > Edit workflow name and description > Configure trigger conditions > Click Next > Review workflow canvas > Click Finish
B. Go to Fusion SOAR > Fusion SOAR > Workflows > Click Open (three dots) menu for the workflow you want to duplicate > Click "Duplicate workflow" > Update and rename the duplicated workflow > Click Save and exit to save the updated workflow
C. Go to Fusion SOAR > Fusion SOAR > Workflows > Find the workflow to duplicate > Click the workflow name > Select "Duplicate" from Actions menu > Edit the workflow configuration > Click
"Create" to generate the new workflow > Set Status to On
D. Go to Fusion SOAR > Workflow Management > Select "All Workflows" tab > Right-click on the workflow to duplicate > Select "Clone Workflow" > Modify workflow parameters > Click
"Validate" > Set workflow status > Click Apply Changes

Answer: B

Explanation:
In Fusion SOAR, duplicating a workflow is done through the workflow's options menu (three dots), selecting "Duplicate workflow," and then updating and saving the new workflow. This ensures the original workflow remains unchanged while creating an editable copy.

NEW QUESTION # 46
Which are valid parse functions in CQL?

A. parseCEF()
parseIETF()
parseXml()
B. parseIETF()
parseJson()
parseXml()
C. parseCEF()
parseIETF()
parseJson()
D. parseCEF()
parseJson()
parseXml()

Answer: D

Explanation:
In CQL, valid parse functions include parseCEF() for Common Event Format, parseJson() for JSON-formatted logs, and parseXml() for XML-formatted logs, enabling structured extraction of fields from different log types.

NEW QUESTION # 47
Which CPS-compliant practice should be followed when a third-party field has no matching ECS field?

A. Prefix it with Vendor.
B. Save it only in an external lookup table
C. Remove the field entirely
D. Convert it to @timestamp

Answer: A

Explanation:
When a third-party field does not map to ECS, CPS guidance is to preserve it using the Vendor. prefix. This keeps the field searchable and retains source-specific context while maintaining normalization standards.
Removing the field or forcing it into an unrelated ECS field would reduce data quality and clarity.

NEW QUESTION # 48
Which field is compliant with CrowdStrike Parsing Standard (CPS)?

A. Parser.type
B. #event.dataset
C. #event.trigger
D. Parser.name

Answer: B

Explanation:
The #event.dataset field is a standard CrowdStrike Parsing Standard (CPS) tag used to categorize the source or type of event, ensuring consistent parsing and normalization across different data sources.

NEW QUESTION # 49
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