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| Section | Weight | Objectives |
|---|---|---|
| User Management | 20% | - Custom role creation and permission assignment - Repository-level access control - Audit log monitoring and usage - SSO/SAML configuration and claim mapping - Multi-factor authentication (MFA) setup - Role-based access control (RBAC) and built-in roles |
| Automation and Integration | 20% | - Falcon Fusion SOAR workflow design and automation - Automated response and remediation - Integration with FalconPy and other tools - External system integration - API access and token management |
| Content Creation | 20% | - First-party vs third-party detections - Content deployment and version control - Dashboard creation and customization - Lookup file management and utilization - CQL query design, building and optimization - Correlation rules creation, tuning and management |
| Data Ingestion | 20% | - Connector components and management - Fleet management and log collector deployment - Built-in and custom data connector configuration - Ingestion methods and integration strategies - Troubleshooting ingestion and connectivity issues - First-party vs third-party data sources |
| Parsing | 20% | - Log format identification and handling - Parser testing and validation - AI-generated parsers and advanced syntax - Parser creation, modification and cloning - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors |
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NEW QUESTION # 64
An organization integrates CrowdStrike Falcon with SIEM and wants to ensure compliance with regulatory requirements for log retention and auditing.
Answer: C
Explanation:
Retention and auditing are essential for compliance and investigations.
NEW QUESTION # 65
Review the log sample below:
What type of parser should be used to extract fields and values from this log?
Answer: A
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 # 66
What are the four required CPS-compliant Event parser tags?
Answer: A
Explanation:
CrowdStrike Parsing Standard (CPS) requires these four tags to classify and normalize events consistently, ensuring compatibility across parsers and enabling accurate correlation and reporting in Next-Gen SIEM.
NEW QUESTION # 67
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: C
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 # 68
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login
Answer: B
Explanation:
The log follows the standard syslog format (timestamp, hostname, process, message). The default Syslog parser is designed to extract fields from such logs efficiently.
NEW QUESTION # 69
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