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| Section | Weight | Objectives |
|---|---|---|
| Content Creation | 20% | - First-party vs third-party detections - CQL query design, building and optimization - Dashboard creation and customization - Content deployment and version control - Correlation rules creation, tuning and management - Lookup file management and utilization |
| User Management | 20% | - Custom role creation and permission assignment - Role-based access control (RBAC) and built-in roles - Audit log monitoring and usage - SSO/SAML configuration and claim mapping - Multi-factor authentication (MFA) setup - Repository-level access control |
| Data Ingestion | 20% | - Connector components and management - Fleet management and log collector deployment - Built-in and custom data connector configuration - Troubleshooting ingestion and connectivity issues - Ingestion methods and integration strategies - First-party vs third-party data sources |
| 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 |
| Parsing | 20% | - Parser creation, modification and cloning - Monitoring and resolving parsing errors - Parser testing and validation - AI-generated parsers and advanced syntax - Log format identification and handling - CrowdStrike Parsing Standards and normalization |
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NEW QUESTION # 56
You notice that the format of incoming logs suddenly changes from JSON format to key-value pairs during log collection.
What action would you take to parse the data correctly?
Answer: C
Explanation:
The correct answer is A. Use a multi-source configuration with different parsers per source .
CrowdStrike's Falcon LogScale Collector documentation states that parsers can be set for each source . The collector configuration model also explains that the Sources section defines the source of the data, filters to be applied, and parsers . That means when different log formats are being collected, the correct design is to separate them by source and assign the appropriate parser to each source.
Why the other options are incorrect:
Switching to fleet mode or monitoring logs does not itself correct parsing logic. Restarting in debug mode may help troubleshoot, but it does not solve the format mismatch. Disabling parsing would make the data less useful, not more useful. The documented way to handle parser differences is to apply parsers at the source level.
NEW QUESTION # 57
What should you do with a field that is not CPS-compliant when adding it to a parser?
Answer: A
Explanation:
Fields that are not CrowdStrike Parsing Standard (CPS)-compliant should be prefixed with Vendor to indicate their source and maintain compatibility with CPS conventions, ensuring consistent parsing and integration.
NEW QUESTION # 58
What is the recommended order of the three required activities to build an efficient CQL query?
Answer: C
Explanation:
The recommended order for building efficient CQL queries is to first filter the data to reduce volume, then aggregate it for analysis, and finally format the results for readability or reporting.
This order optimizes performance and clarity.
NEW QUESTION # 59
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 # 60
What is the primary benefit of using a Fusion SOAR workflow to integrate Falcon with third-party ticket system?
Answer: B
Explanation:
Fusion SOAR workflows allow Next-Gen SIEM to automatically create, update, and manage tickets in third-party systems when detections occur, streamlining incident response and reducing manual effort.
NEW QUESTION # 61
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