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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Parsing | 20% | - Parser testing and validation - AI-generated parsers and advanced syntax - Parser creation, modification and cloning - Monitoring and resolving parsing errors - Log format identification and handling - CrowdStrike Parsing Standards and normalization |
| Topic 2: Data Ingestion | 20% | - Troubleshooting ingestion and connectivity issues - First-party vs third-party data sources - Ingestion methods and integration strategies - Built-in and custom data connector configuration - Connector components and management - Fleet management and log collector deployment |
| Topic 3: Content Creation | 20% | - Lookup file management and utilization - Content deployment and version control - CQL query design, building and optimization - First-party vs third-party detections - Correlation rules creation, tuning and management - Dashboard creation and customization |
| Topic 4: User Management | 20% | - Audit log monitoring and usage - Multi-factor authentication (MFA) setup - Repository-level access control - SSO/SAML configuration and claim mapping - Custom role creation and permission assignment - Role-based access control (RBAC) and built-in roles |
| Topic 5: Automation and Integration | 20% | - Falcon Fusion SOAR workflow design and automation - API access and token management - External system integration - Integration with FalconPy and other tools - Automated response and remediation |
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NEW QUESTION # 13
Which function is most appropriate for extracting fields from logs formatted as key=value pairs?
Answer: D
Explanation:
kvParse() is designed for logs that use key=value structure. It extracts the keys and values into searchable fields. parseJson() is for JSON objects, parseCsv() is for delimited positional records, and parseXml() is for XML-formatted content.
NEW QUESTION # 14
Which are valid parse functions in CQL?
Answer: A
Explanation:
The correct answer is B . CrowdStrike LogScale documentation includes parseCEF() , parseJson() , and parseXml() as valid parsing functions. parseCEF() parses CEF-encoded messages, parseJson() parses JSON data into fields, and parseXml() parses XML content into fields.
The other options are incorrect because parseIETF() is not a valid CQL parse function in the documented parsing function set, and option D also contains malformed syntax with parseXml(.
NEW QUESTION # 15
You need to provide a colleague the appropriate role to allow for configuration of connectors and creation of SOAR automations in Next-Gen SIEM.
Which role will provide these permissions while also maintaining least privilege?
Answer: A
Explanation:
The best answer is D. Custom role .
CrowdStrike documentation for Store app integrations states that the Falcon Administrator role is required to enable apps and plugins in the CrowdStrike Store, which is the administrative side of connector configuration. That shows connector configuration is a privileged task.
At the same time, Falcon Fusion SOAR is the workflow automation capability used to create SOAR automations in the Falcon platform. CrowdStrike describes Fusion SOAR as the workflow engine used to build and run workflows and automate actions across security processes.
Because the question specifically asks for the role that allows both actions while maintaining least privilege
, the most appropriate choice is a custom role that grants only the required permissions instead of assigning a broader built-in administrative role. This is an inference from the documented permission model: connector
/plugin setup requires elevated permissions, and SOAR workflow creation is a separate capability, so a narrowly scoped custom role is the least-privilege answer among the options.
Why the other options are not the best answer:
NG SIEM Analyst is intended for analyst activity, not configuration and automation administration. Falcon Security Lead is broader and not the most precise least-privilege answer. NG SIEM Security Lead may have wide SIEM access, but the question asks for the option that best maintains least privilege across both connector configuration and SOAR automation creation; that is better satisfied by a custom role . This conclusion is based on the documented need for elevated permissions for plugin configuration and the separate SOAR workflow capability.
NEW QUESTION # 16
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 best answer is C. NG SIEM Analyst .
I need to be careful here: I did not find a public CrowdStrike permissions matrix that explicitly lists this exact combination of rights by role. So this answer is the best-supported least-privilege inference , not one I can claim is directly documented 100%.
Why C is the strongest choice:
* NG SIEM Analyst - Read Only would not fit because the question requires write XDR data permissions.
* NGSIEM Administrator and NG SIEM Security Lead are broader roles and would not satisfy least privilege if a narrower analyst role can do the job.
* That leaves NG SIEM Analyst as the most plausible least-privilege built-in role for reading case data and writing XDR data while not granting broader administrative capabilities. CrowdStrike's Next-Gen SIEM materials describe the platform as combining centralized case management and XDR workflows, but the public pages I found do not expose the exact internal role matrix.
NEW QUESTION # 17
What is the primary benefit of utilizing Next-Gen SIEM's built-in dashboards?
Answer: C
Explanation:
The correct answer is C. Quick insights without manual setup .
CrowdStrike describes Falcon Next-Gen SIEM as providing pre-built dashboards and says teams can quickly understand security and system health with prebuilt dashboards for data collection health, SOAR workflow executions, security trends, and more. That directly supports the idea that the main benefit is getting fast visibility and insights without having to build everything manually first .
Why the other options are incorrect:
A is incorrect because dashboards are for visualization and insight, not primarily for raw log access. B is incorrect because custom queries are a separate search capability, not the main value proposition of built-in dashboards. D is incorrect because CrowdStrike emphasizes using pre-built and custom dashboards for visualization, not modifying dashboard source code as the primary benefit.
NEW QUESTION # 18
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