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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Parsing | 20% | - Monitoring and resolving parsing errors - AI-generated parsers and advanced syntax - Parser creation, modification and cloning - Parser testing and validation - CrowdStrike Parsing Standards and normalization - Log format identification and handling |
| Topic 2: User Management | 20% | - Repository-level access control - SSO/SAML configuration and claim mapping - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles |
| Topic 3: Data Ingestion | 20% | - Ingestion methods and integration strategies - Fleet management and log collector deployment - First-party vs third-party data sources - Built-in and custom data connector configuration - Troubleshooting ingestion and connectivity issues - Connector components and management |
| Topic 4: Automation and Integration | 20% | - Integration with FalconPy and other tools - API access and token management - External system integration - Automated response and remediation - Falcon Fusion SOAR workflow design and automation |
| Topic 5: Content Creation | 20% | - CQL query design, building and optimization - First-party vs third-party detections - Dashboard creation and customization - Correlation rules creation, tuning and management - Content deployment and version control - Lookup file management and utilization |
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NEW QUESTION # 78
When setting up a data connector, which parser can be used to transform incoming data into searchable events that trigger detections in Next-Gen SIEM?
Answer: A
Explanation:
CPS-compliant parsers normalize incoming data into a standardized format, making events searchable and actionable within Next-Gen SIEM, which enables accurate detections and correlation.
NEW QUESTION # 79
Which statement is accurate about how data ingest is measured and represented in Next-Gen SIEM?
Answer: C
Explanation:
Next-Gen SIEM measures data ingest based on the average gigabytes per day from all data sources, calculated before parsing, to accurately represent the volume of raw log data entering the system.
NEW QUESTION # 80
You are a Next-Gen SIEM Engineer responsible for parser creation. An internal requirement is to maintain both the Vendor and ECS field names within the Fields panel in Advanced Event Search.
What is the correct method for adding the ECS field while maintaining the Vendor field in a parser?
Answer: C
Explanation:
Using the Assignment Operator in a parser allows you to map a parsed value to both the Vendor field and the corresponding ECS-compliant field, ensuring both are available in the Fields panel for Advanced Event Search.
NEW QUESTION # 81
You have been tasked with parsing the following space-delimited log:
2025-06-03 12:13:07 johndoe 192.168.5.15 login
The log source data is guaranteed to always be in the same order.
Which function can parse this log?
Answer: B
Explanation:
The correct answer is C. parseCsv() .
CrowdStrike LogScale documentation for parseCsv() states that the function supports a configurable delimiter parameter, and it is used to split a field into named columns. Because this log is space-delimited and the values are always in the same order, parseCsv() is the appropriate parser function by specifying a space as the delimiter and naming the columns in order.
Why the other options are incorrect:
* A. parseCEF() is for CEF-formatted logs, which this event is not.
* B. parseJson() is for JSON, and this event is plain text.
* D. parseFixedWidth() is meant for logs where each field occupies a strict character width.
CrowdStrike's docs describe it as valuable when data must maintain strict positional formatting and defined field lengths. This question only guarantees field order , not fixed character widths, so parseFixedWidth() is not the best match.
NEW QUESTION # 82
You find a Falcon Log Collector instance on a Linux system that is not connected to Fleet Management.
What command would you use to enroll the Falcon Log Collector?
Answer: B
Explanation:
The correct answer is B. sudo logscale-collector enroll < TOKEN > .
Current CrowdStrike LogScale Collector documentation shows the enrollment command using the logscale- collector binary. For example, the macOS custom installation page explicitly shows:
sudo logscale-collector enroll enrolltoken
The Fleet Management enrollment documentation also explains that you copy the enrollment command from the UI and run it on the machine hosting the collector.
Why the other options are incorrect:
A is a Windows path, not Linux. C reflects the older humio-log-collector naming that existed in earlier versions and release history, but the current docs use logscale-collector for the enrollment command. D does not match the documented command syntax. CrowdStrike's current documentation centers the enrollment workflow on logscale-collector enroll < token > .
NEW QUESTION # 83
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