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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Parsing | 20% | - Parser testing and validation - CrowdStrike Parsing Standards and normalization - Log format identification and handling - Parser creation, modification and cloning - AI-generated parsers and advanced syntax - Monitoring and resolving parsing errors |
| Topic 2: Data Ingestion | 20% | - Ingestion methods and integration strategies - Troubleshooting ingestion and connectivity issues - Fleet management and log collector deployment - First-party vs third-party data sources - Connector components and management - Built-in and custom data connector configuration |
| Topic 3: User Management | 20% | - Audit log monitoring and usage - SSO/SAML configuration and claim mapping - Repository-level access control - Role-based access control (RBAC) and built-in roles - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment |
| Topic 4: Automation and Integration | 20% | - External system integration - Integration with FalconPy and other tools - Automated response and remediation - Falcon Fusion SOAR workflow design and automation - API access and token management |
| Topic 5: Content Creation | 20% | - Content deployment and version control - Lookup file management and utilization - CQL query design, building and optimization - Dashboard creation and customization - First-party vs third-party detections - Correlation rules creation, tuning and management |
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NEW QUESTION # 42
You are creating a correlation rule in Next-Gen SIEM to trigger alerts based on when the event occurred, regardless of when the event was ingested.
Which event timestamp should you select?
Answer: A
Explanation:
The correct answer is A. @timestamp .
CrowdStrike LogScale documentation explains that @timestamp is the event timestamp, meaning when the event actually happened, while @ingesttimestamp is when the event arrived in LogScale. If you want the rule to fire based on when the event occurred, regardless of ingestion delay, you should use @timestamp .
Why the other options are incorrect:
D). @ingesttimestamp is specifically the ingest time, not the original event time.
B and C are not the standard event-time fields documented for this use. CrowdStrike's event field documentation centers this distinction on @timestamp versus @ingesttimestamp.
NEW QUESTION # 43
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: B
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 # 44
A SIEM detects large volumes of outbound data transfers during non-business hours from a sensitive database server to an external IP address.
Answer: C
Explanation:
Unusual outbound data volume at odd times suggests exfiltration.
NEW QUESTION # 45
You are reviewing logs and find that the content appears as one large block of text within the
@rawstringfield for incoming firewall logs. The other expected structured fields are empty.
What is the cause of this issue?
Answer: C
Explanation:
If logs appear only in @rawstring and structured fields are empty, it indicates that the parser failed to extract fields. This usually happens when the parser is misconfigured or does not match the log format.
NEW QUESTION # 46
You are creating an AI-generated parser to process and normalize log data from various sources.
How would you ensure the parser accurately interprets and categorizes the log data?
Answer: A
Explanation:
The correct answer is B . CrowdStrike states that AI-generated parsers are built from sample log records .
Falcon Next-Gen SIEM analyzes those samples to learn the logs' structure and content, so providing representative examples is the documented way to help the parser interpret and categorize data correctly.
Options A and C are not supported by CrowdStrike documentation. There is no requirement for a minimum parser length, and Next-Gen SIEM parsers are not written as Python or Java programs; CrowdStrike's parser template shows a parser schema and script structure specific to Next-Gen SIEM.
NEW QUESTION # 47
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