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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Content Creation | 20% | - CQL query design, building and optimization - Dashboard creation and customization - Lookup file management and utilization - Correlation rules creation, tuning and management - Content deployment and version control - First-party vs third-party detections |
| Topic 2: Parsing | 20% | - Log format identification and handling - Parser testing and validation - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - AI-generated parsers and advanced syntax - Parser creation, modification and cloning |
| Topic 3: Automation and Integration | 20% | - Integration with FalconPy and other tools - Automated response and remediation - Falcon Fusion SOAR workflow design and automation - External system integration - API access and token management |
| Topic 4: User Management | 20% | - Role-based access control (RBAC) and built-in roles - Repository-level access control - SSO/SAML configuration and claim mapping - Audit log monitoring and usage - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment |
| Topic 5: Data Ingestion | 20% | - Connector components and management - Ingestion methods and integration strategies - First-party vs third-party data sources - Fleet management and log collector deployment - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration |
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NEW QUESTION # 24
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?
Answer: A
Explanation:
The correct answer is A . CrowdStrike documentation states that when a timestamp does not include timezone information, or when you need to control timezone interpretation, you should pass the timezone parameter to parseTimestamp() or findTimestamp(). Since parsers are where ingest-time transformations are defined, the correct engineering approach is to create or clone a custom parser for that log source and explicitly apply the needed timezone handling there. CrowdStrike's custom parser docs explain that parsers are used to control how incoming events are transformed during ingest, and the timestamp parsing docs explain that timezone can be set directly in the parser logic.
Why the other options are incorrect:
B is not the documented parser-side solution. While changing the source may work operationally in some environments, CrowdStrike's parsing guidance focuses on fixing time interpretation in the parser by using timezone or related timestamp parsing controls. C is incorrect because changing the timestamp field name does not solve timezone parsing. D is incorrect because dropping the source timestamp and relying on ingest time would lose the original event time, which is exactly what parsers are meant to preserve by converting source timestamps into @timestamp. CrowdStrike explicitly states that one of the most important jobs of a parser is assigning correct timestamps to events.
NEW QUESTION # 25
An event has the following fields:
Which CQL query will output the frequency of a unique set of ComputerName, UserName, CommandLine?
Answer: A
Explanation:
CrowdStrike LogScale documentation states that groupBy() is used to group events by one or more specified fields, similar to SQL GROUP BY. The documentation also says the function parameter accepts aggregate functions, and its default is count(as=_count). That means the query that explicitly groups by ComputerName, UserName, and CommandLine and applies function=count() is the correct way to output the frequency of each unique combination of those three fields.
Why the other options are incorrect:
A is incorrect because table() formats output rows but does not aggregate unique combinations into frequencies the way groupBy() does. Adding count() after table() does not produce grouped counts for each unique triplet. B is incorrect because table() is not the aggregation function documented for grouped frequency counting; groupBy() is. D is close, but it relies on the default count behavior rather than explicitly specifying function=count(). Since the question asks which query will output the frequency of a unique set, C is the most correct and explicit choice.
NEW QUESTION # 26
A security analyst observes multiple failed logins followed by a successful login from a new geographic location within a short timeframe across several endpoints.
Answer: D
Explanation:
Multiple failed attempts followed by success and geographic anomaly strongly indicate credential stuffing or compromised credentials.
NEW QUESTION # 27
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:
On Linux systems, the humio-log-collector enroll <TOKEN> command is used to enroll a Falcon Log Collector into Fleet Management, allowing it to start reporting and receiving configurations.
NEW QUESTION # 28
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login
Answer: A
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 # 29
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