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CrowdStrike Certified SIEM Engineer Sample Questions (Q21-Q26):

NEW QUESTION # 21
You want a consistent view of events from various data sources.
Which ECS field type should you normalize?

Answer: A

Explanation:
Elastic's official ECS guidelines define Core fields as the fields most common across use cases and explicitly state that analysis content built on these fields should work properly on data from any relevant source. They also say to focus on populating these fields first . CrowdStrike's CPS builds on ECS and is intended to standardize field names and structures across different data sources for consistent searching and analysis.
Together, that makes Core fields the right answer when your goal is a consistent cross-source view.
Why the other options are incorrect:
* Extended fields are useful, but ECS defines them as anything not in the core set, so they are not the primary normalization target for broad consistency.
* Base fields and Detection fields are not the correct ECS field-type answer to this question as framed.


NEW QUESTION # 22
You want a Next-Gen SIEM dashboard to update automatically when new data is available.
Which action would you take?

Answer: B


NEW QUESTION # 23
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 # 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: 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 # 25
You need to ingest data from a custom internal application hosted on-prem. The application writes logs to a file on a syslog server.
Which data connector would you use?

Answer: B

Explanation:
The correct answer is B. HTTP Event Connector .
CrowdStrike describes the HTTP Event Connector (HEC) as the generic mechanism used to bring third- party data into Falcon Next-Gen SIEM when you need to onboard logs from sources that are not tied to a specific cloud-native connector. CrowdStrike's own Next-Gen SIEM materials highlight pre-built connectors and HTTP Event Collectors as the way to extend visibility to many different third-party sources.
Because this question describes a custom internal application hosted on-prem , the cloud-specific connectors in options A , C , and D do not fit. The broad, flexible connector option intended for custom or non-native sources is the HTTP Event Connector . Also, CrowdStrike's vCenter example shows an architecture where logs are first centralized and then onboarded to Falcon Next-Gen SIEM through an HTTP Event Connector , which aligns with this kind of custom-source pattern.


NEW QUESTION # 26
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