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| Section | Weight | Objectives |
|---|---|---|
| User Management | 20% | - SSO/SAML configuration and claim mapping - Multi-factor authentication (MFA) setup - Repository-level access control - Custom role creation and permission assignment - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles |
| Parsing | 20% | - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - Log format identification and handling - Parser testing and validation - AI-generated parsers and advanced syntax - Parser creation, modification and cloning |
| Content Creation | 20% | - Correlation rules creation, tuning and management - Lookup file management and utilization - First-party vs third-party detections - CQL query design, building and optimization - Content deployment and version control - Dashboard creation and customization |
| Automation and Integration | 20% | - Falcon Fusion SOAR workflow design and automation - External system integration - Automated response and remediation - API access and token management - Integration with FalconPy and other tools |
| Data Ingestion | 20% | - Fleet management and log collector deployment - Troubleshooting ingestion and connectivity issues - Connector components and management - Ingestion methods and integration strategies - Built-in and custom data connector configuration - First-party vs third-party data sources |
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NEW QUESTION # 67
Review the log sample below:
What type of parser should be used to extract fields and values from this log?
Answer: D
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 # 68
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "web01", "message": "Out of memory"} Which parsing function is correct to add a missing timezone field?
Answer: D
Explanation:
The correct answer is D . CrowdStrike LogScale's timestamp parsing documentation gives this exact pattern as the example for a JSON event whose ts field contains 2018/11/01 14:31:10 with no timezone present. The documented solution is:
parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts) This works because the event is JSON, so parseJson() is the right first step, and the timestamp format matches the sample exactly. Since the timestamp string does not include timezone information, CrowdStrike documentation says you must provide a timezone parameter to parseTimestamp().
Why the other options are incorrect:
A is wrong because the format string does not match the timestamp. The event uses 2018/11/01 14:31:10, which is yyyy/MM/dd HH:mm:ss, not dd/MMM/yyyy:HH:mm:ss Z. Also, the sample timestamp does not include a Z timezone token in the raw string. B and C are wrong because kvParse() is for key-value logs, not JSON logs, and this event is clearly JSON. CrowdStrike's built-in parser documentation distinguishes JSON parsing from KV parsing, and the timestamp example for missing timezone specifically uses parseJson() with parseTimestamp().
NEW QUESTION # 69
When deploying the Falcon Log Collector using the commands in the CrowdStrike Fleet Management interface, what is the correct service name?
Answer: C
Explanation:
The Falcon Log Collector service is named logscale-collector, which is used in installation, enrollment, and management commands when deploying via the CrowdStrike Fleet Management interface.
NEW QUESTION # 70
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: D
Explanation:
Even though the log is space-delimited, parseCsv() can parse consistently ordered, delimited data by specifying the delimiter (in this case, a space), making it suitable for structured logs with a fixed field order.
NEW QUESTION # 71
A correlation rule is generating a high volume of detections. You have been asked to temporarily deactivate it so your team can investigate.
What will happen to previously generated detections while the rule is in a deactivated state?
Answer: B
Explanation:
Deactivating a correlation rule stops it from generating new detections but does not affect detections that were already created. Existing detections remain in the console for investigation and tracking.
NEW QUESTION # 72
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