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CrowdStrike CCSE-204 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 20% | - Connector components and management - Built-in and custom data connector configuration - Troubleshooting ingestion and connectivity issues - Fleet management and log collector deployment - Ingestion methods and integration strategies - First-party vs third-party data sources |
| Topic 2: Automation and Integration | 20% | - API access and token management - Integration with FalconPy and other tools - External system integration - Automated response and remediation - Falcon Fusion SOAR workflow design and automation |
| Topic 3: Parsing | 20% | - AI-generated parsers and advanced syntax - Parser testing and validation - Monitoring and resolving parsing errors - CrowdStrike Parsing Standards and normalization - Parser creation, modification and cloning - Log format identification and handling |
| Topic 4: User Management | 20% | - Audit log monitoring and usage - SSO/SAML configuration and claim mapping - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment - Repository-level access control - Role-based access control (RBAC) and built-in roles |
| Topic 5: Content Creation | 20% | - Correlation rules creation, tuning and management - Dashboard creation and customization - Lookup file management and utilization - First-party vs third-party detections - CQL query design, building and optimization - Content deployment and version control |
CrowdStrike Certified SIEM Engineer Sample Questions:
1. An attacker uses legitimate administrative tools like PowerShell and WMI to avoid detection while moving laterally within the network.
A) DDoS
B) Phishing
C) File-based malware detection
D) Living-off-the-land techniques
2. Which statement is accurate about how data ingest is measured and represented in Next-Gen SIEM?
A) Average GB/day for all sources (pre-parsing)
B) Average GB/month for all sources (post-parsing)
C) Average GB/month for first and third-party sources (pre-parsing)
D) Average GB/day for third-party sources only (pre-parsing)
3. During threat hunting, an analyst searches for rare processes executed across endpoints that deviate from baseline behavior within the enterprise environment.
A) Signature-based detection
B) Static blocking
C) Encryption
D) Anomaly-based detection
4. A SIEM correlation rule triggers when a user logs in from two geographically distant locations within an impossible travel timeframe.
A) Privilege escalation
B) Impossible travel detection
C) Data exfiltration
D) Malware infection
5. As a Next-Gen SIEM Engineer, you are responsible for managing and tuning correlation rules to improve the detection of potential security incidents. One of your correlation rules is designed to detect multiple failed login attempts that are followed by a successful login within a short time frame.
Which step would you take to tune this correlation rule to reduce false positives while maintaining its effectiveness?
A) Increase the time window for detecting multiple failed login attempts to capture more data
B) Remove the condition for a successful login to simplify the rule
C) Add a condition to exclude known trusted IP addresses from triggering the rule
D) Decrease the threshold for the number of failed login attempts required to trigger the rule
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |






