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CrowdStrike Certified SIEM Engineer Sample Questions (Q29-Q34):

NEW QUESTION # 29
Review the log sample below:

What type of parser should be used to extract fields and values from this log?

A. Key-Value
B. XML
C. CSV
D. JSON

Answer: C

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 # 30
You suspect that an API key you recently generated has been compromised.
What should you do?

A. Regenerate a new API key directly from the platform
B. View the API key details in the platform and clone a new API key
C. Search the audit logs for the connector creation event and replicate it
D. Contact CrowdStrike Support to retrieve and send the key to you

Answer: A

Explanation:
The correct answer is A. Regenerate a new API key directly from the platform .
CrowdStrike guidance around connector onboarding shows that after a connector is created, you generate an API key in the platform and use that key for the integration. Related integration guidance also shows a Regenerate API key action in the platform flow, which is the correct response when a key may be exposed or compromised.
Why the other options are incorrect:
* B does not address credential compromise; recreating the connector event does not invalidate the exposed key.
* C is incorrect because the issue is not viewing or cloning details; the security action is to rotate
/regenerate the credential.
* D is incorrect because CrowdStrike documentation consistently indicates secrets/keys are generated in- platform and may only be shown once, meaning Support is not the normal mechanism to retrieve and resend an existing secret.

NEW QUESTION # 31
Which field is compliant with CrowdStrike Parsing Standard (CPS)?

A. #event.trigger
B. Parser.name
C. Parser.type
D. #event.dataset

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 # 32
Which CQL statement below includes correct placement of the AND statements and the pipe symbol?

A. #sourcefile="jobfilename" AND stdout=/[[+]] / | groupBy([hostname], function=collect([hostname, stdout] )) | stdout != "" AND stdout != "* No artifacts *" | select([hostname,stdout])
B. #sourcefile="jobfilename" | stdout=/[[+]] / AND groupBy([hostname], function=collect([hostname, stdout] )) AND stdout ! = "" | stdout != "* No artifacts *" | select([hostname,stdout])
C. #sourcefile="jobfilename" AND stdout=/[[+]] / | groupBy([hostname], function=collect([hostname, stdout] )) AND stdout != "" AND stdout != "* No artifacts *" | select([hostname,stdout])
D. #sourcefile="jobfilename" | stdout=/[[+]] / | groupBy([hostname], function=collect([hostname,stdout] )) | stdout != "" AND stdout != "* No artifacts *" AND select([hostname,stdout])

Answer: A

Explanation:
The correct answer is C . In CQL, boolean conditions such as AND belong inside filter expressions, while pipeline functions like groupBy() and select() must be separated with the pipe (|) operator. CrowdStrike syntax guidance shows that functions are chained through the pipeline and should not be combined with AND. Option C correctly uses AND for the filter logic and uses pipes to separate the aggregation and projection steps.

NEW QUESTION # 33
You are reviewing logs and find that the content appears as one large block of text within the @rawstring field for incoming firewall logs. The other expected structured fields are empty.
What is the cause of this issue?

A. The sink was overloaded
B. The ingestion token is invalid
C. The parser was incorrect
D. The timestamp format is incorrect

Answer: C

Explanation:
The correct answer is A. The parser was incorrect .
CrowdStrike LogScale documentation explains that when data is ingested without an appropriate parser , the event still arrives in LogScale, but it is not automatically parsed into fields . In that case, the event remains as raw text in @rawstring, while the expected extracted fields stay empty. That matches the exact symptom described in the question.
Why the other options are incorrect:
B is incorrect because if the ingestion token were invalid, the data generally would not be ingested successfully in the first place. C is incorrect because an overloaded sink may delay or buffer delivery, but it does not explain why only @rawstring is populated while structured fields are missing. D is incorrect because a timestamp parsing problem may cause time-related errors, but it would not by itself explain why the entire firewall event remains unparsed as raw text. CrowdStrike's parser error docs show that parse failures are tracked separately and that @rawstring is what you inspect when events fail to parse correctly.

NEW QUESTION # 34
......

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