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| Section | Objectives |
|---|---|
| Topic 1: Exam domains (official detailed syllabus not publicly disclosed) | - CrowdStrike SIEM and log analysis fundamentals - Security event ingestion, normalization, and correlation concepts - Operational use of CrowdStrike Falcon modules for SIEM engineering tasks - Threat detection and incident investigation workflows in CrowdStrike platform - Dashboards, reporting, and alerting configuration |
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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: 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 # 68
What is the purpose of labels in Fleet Management?
Answer: D
Explanation:
CrowdStrike's Fleet Management documentation for Falcon LogScale Collector explains that labels are used to associate metadata with a Fleet Management configuration and with collector instances so they can be tagged, identified, organized, and filtered. The docs specifically describe labels as helping organize collectors by criteria such as environment, region, service, or other custom values. That directly matches option B:
Categorize collectors for group configurations .
Why the other options are incorrect:
Option A is incorrect because labels are not used for authentication or password management.
Option C is incorrect because labels do not perform traffic monitoring; they are metadata for organization and selection.
Option D is incorrect because labels do not assign network settings such as IP addresses.
NEW QUESTION # 69
What should you do with a field that is not CPS-compliant when adding it to a parser?
Answer: D
Explanation:
The correct answer is D. Prefix the field with Vendor .
CrowdStrike's CPS documentation says that when an event contains fields that do not exist in ECS , their names should be prefixed with the string literal Vendor. . The same guidance also says to always keep the original Vendor. field when normalizing third-party fields to ECS . That directly matches option D.
Why the other options are incorrect:
CPS does not tell you to remove non-ECS fields or leave them unstructured without normalization. It also does not say every non-compliant field must be converted into ECS. Instead, the standard preserves those vendor-specific fields under the Vendor. namespace.
NEW QUESTION # 70
Which field is compliant with CrowdStrike Parsing Standard (CPS)?
Answer: D
Explanation:
The correct answer is B. #event.dataset .
CrowdStrike's CPS documentation explicitly lists #event.dataset as one of the CPS-compliant parser tags.
The CPS migration documentation also repeats that CPS-compliant parsers use tags for fields including #ecs.
version , #event.dataset , and #event.kind .
Why the other options are incorrect:
Parser.type and Parser.name are not listed as CPS-compliant tags in the CPS standard.
#event.trigger is also not listed among the CPS-compliant fields/tags.
Therefore, the only CPS-compliant option given is #event.dataset .
NEW QUESTION # 71
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: D
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 # 72
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