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CrowdStrike CCSE-204 Exam Syllabus Topics:

SectionWeightObjectives
User Management20%- Multi-factor authentication (MFA) setup
- Role-based access control (RBAC) and built-in roles
- Audit log monitoring and usage
- Repository-level access control
- SSO/SAML configuration and claim mapping
- Custom role creation and permission assignment
Content Creation20%- CQL query design, building and optimization
- Content deployment and version control
- Dashboard creation and customization
- Correlation rules creation, tuning and management
- Lookup file management and utilization
- First-party vs third-party detections
Data Ingestion20%- Troubleshooting ingestion and connectivity issues
- Built-in and custom data connector configuration
- Fleet management and log collector deployment
- Connector components and management
- First-party vs third-party data sources
- Ingestion methods and integration strategies
Parsing20%- Parser testing and validation
- Log format identification and handling
- Parser creation, modification and cloning
- CrowdStrike Parsing Standards and normalization
- Monitoring and resolving parsing errors
- AI-generated parsers and advanced syntax
Automation and Integration20%- Automated response and remediation
- Integration with FalconPy and other tools
- Falcon Fusion SOAR workflow design and automation
- API access and token management
- External system integration

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CrowdStrike Certified SIEM Engineer Sample Questions (Q28-Q33):

NEW QUESTION # 28
A SIEM ingestion pipeline drops events due to high throughput, leading to gaps in visibility during a suspected attack investigation.

Answer: B

Explanation:
Scaling ensures no data loss and complete visibility.


NEW QUESTION # 29
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?

Answer: C

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 # 30
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?

Answer: C

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 # 31
A SIEM detects large volumes of outbound data transfers during non-business hours from a sensitive database server to an external IP address.

Answer: B

Explanation:
Unusual outbound data volume at odd times suggests exfiltration.


NEW QUESTION # 32
You are performing a search query using data from the Falcon Sensor and third-party data connectors.
Which Advanced Event Search data source should you choose?

Answer: D

Explanation:
Selecting All as the data source in Advanced Event Search allows you to query across both Falcon Sensor data and third-party data connectors, ensuring comprehensive search results from all available sources.


NEW QUESTION # 33
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