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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 - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - Log format identification and handling |
| Topic 2: User Management | 20% | - SSO/SAML configuration and claim mapping - Custom role creation and permission assignment - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles - Repository-level access control - Multi-factor authentication (MFA) setup |
| Topic 3: Content Creation | 20% | - First-party vs third-party detections - Correlation rules creation, tuning and management - Lookup file management and utilization - CQL query design, building and optimization - Dashboard creation and customization - Content deployment and version control |
| Topic 4: Automation and Integration | 20% | - Automated response and remediation - External system integration - Falcon Fusion SOAR workflow design and automation - Integration with FalconPy and other tools - API access and token management |
| Topic 5: Data Ingestion | 20% | - Troubleshooting ingestion and connectivity issues - Connector components and management - Fleet management and log collector deployment - 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 # 14
An event has the following fields:
Which CQL query will output the frequency of a unique set of ComputerName, UserName, CommandLine?
#event_simpleName = ProcessRollup2 FileName = ssh.exe CommandLine = /\s-
Answer: C
Explanation:
Using groupBy() with function=count() aggregates the events by the unique combination of ComputerName, UserName, and CommandLine, producing the frequency of each unique set.
This approach correctly handles the CQL syntax for counting occurrences.
NEW QUESTION # 15
During threat hunting, an analyst searches for rare processes executed across endpoints that deviate from baseline behavior within the enterprise environment.
Answer: C
Explanation:
Rare or unusual activity compared to baseline indicates anomaly-based detection.
NEW QUESTION # 16
The parseJson() function would be used to parse which log message format from the list below?
Answer: A
Explanation:
The correct answer is C . CrowdStrike documents parseJson() as the function used to parse data or a field as JSON , converting JSON objects into named fields. The JSON example in the docs matches the structure of option C.
The other options are not JSON. A is key-value style text, B is access-log style text, and D is plain text with a timestamp and message. Those would require other parsing approaches, not parseJson().
NEW QUESTION # 17
When deploying the Falcon Log Collector using the commands in the CrowdStrike Fleet Management interface, what is the correct service name?
Answer: B
Explanation:
The correct answer is C. logscale-collector .
CrowdStrike's Falcon LogScale Collector installation documentation states that the service name varies by installation method. It explicitly says that for Full Installation the service is called logscale-collector , while Custom Installation uses humio-log-collector . Since the question specifically refers to deployment using the Fleet Management interface commands , that aligns with the Full Installation workflow, so the correct service name is logscale-collector .
NEW QUESTION # 18
Which three System alerts are enabled by default in Next-Gen SIEM for third-party connectors?
Answer: D
Explanation:
Next-Gen SIEM enables these system alerts by default for third-party connectors to monitor connectivity and data ingestion thresholds, ensuring timely detection of issues.
NEW QUESTION # 19
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