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| Section | Weight | Objectives |
|---|---|---|
| Automation and Integration | 20% | - External system integration - API access and token management - Integration with FalconPy and other tools - Automated response and remediation - Falcon Fusion SOAR workflow design and automation |
| User Management | 20% | - Custom role creation and permission assignment - Repository-level access control - SSO/SAML configuration and claim mapping - Role-based access control (RBAC) and built-in roles - Multi-factor authentication (MFA) setup - Audit log monitoring and usage |
| Content Creation | 20% | - CQL query design, building and optimization - Lookup file management and utilization - First-party vs third-party detections - Correlation rules creation, tuning and management - Dashboard creation and customization - Content deployment and version control |
| Parsing | 20% | - AI-generated parsers and advanced syntax - Parser testing and validation - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - Log format identification and handling - Parser creation, modification and cloning |
| Data Ingestion | 20% | - Built-in and custom data connector configuration - First-party vs third-party data sources - Connector components and management - Ingestion methods and integration strategies - Fleet management and log collector deployment - Troubleshooting ingestion and connectivity issues |
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NEW QUESTION # 24
Review the log sample below:
What type of parser should be used to extract fields and values from this log?
Answer: B
Explanation:
The sample log is a comma-delimited record with values separated by commas, and some fields are enclosed in quotes. That structure matches CSV-style parsing . In CrowdStrike LogScale, parseCsv() is used for delimited logs where fields appear in a consistent order and are separated by a defined delimiter. This fits the sample shown.
Why the other options are incorrect:
A). XML is incorrect because the log does not use XML tags.
C). JSON is incorrect because the log is not in brace-based key/value JSON format.
D). Key-Value is incorrect because the fields are not expressed as key=value pairs; they are positional comma- separated values instead.
NEW QUESTION # 25
Which metric best reflects how quickly a SIEM-enabled SOC can respond to detected threats from identification to remediation?
Answer: A
Explanation:
MTTR (Mean Time to Respond) measures response speed.
NEW QUESTION # 26
Following the principle of least privilege, which is the appropriate role to grant a Falcon Next-Gen SIEM user the permissions to read case data and write XDR data while denying the permission to write case templates?
Answer: C
Explanation:
The NG SIEM Analyst role allows reading case data and writing XDR data while restricting administrative actions such as modifying or writing case templates, aligning with the principle of least privilege.
NEW QUESTION # 27
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: B
Explanation:
The correct answer is A. All . Falcon Next-Gen SIEM is designed to unify first-party Falcon telemetry with third-party ingested data in a single investigation and search experience. When the query needs to include both Falcon Sensor data and third-party connector data, the correct data source selection is the one that includes both categories together, which is All . CrowdStrike describes Next-Gen SIEM as correlating native Falcon data with third-party sources to provide a unified security view.
NEW QUESTION # 28
An organization integrates CrowdStrike Falcon with SIEM and wants to ensure compliance with regulatory requirements for log retention and auditing.
Answer: B
Explanation:
Retention and auditing are essential for compliance and investigations.
NEW QUESTION # 29
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