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CrowdStrike CCSE-204 Exam Syllabus Topics:

SectionObjectives
Topic 1: Exam domains (official detailed syllabus not publicly disclosed)- Dashboards, reporting, and alerting configuration
- Threat detection and incident investigation workflows in CrowdStrike platform
- CrowdStrike SIEM and log analysis fundamentals
- Security event ingestion, normalization, and correlation concepts
- Operational use of CrowdStrike Falcon modules for SIEM engineering tasks

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CrowdStrike Certified SIEM Engineer Sample Questions (Q55-Q60):

NEW QUESTION # 55
A Falcon Log Collector has been configured with 4 sinks of type memory, each having a queue size of 2GB.
What is the minimum memory requirement produced by this configuration?

Answer: D

Explanation:
Each memory sink requires its queue size plus an overhead of 500 MB. With 4 sinks of 2 GB each:
Memory required = (2 GB + 0.5 GB) × 4 = 2.5 GB × 4 = 10 GB.
This accounts for the minimum memory needed for all configured sinks.


NEW QUESTION # 56
The parseJson() function would be used to parse which log message format from the list below?

Answer: D

Explanation:
The correct answer is C . CrowdStrike documents parseJson() as the function used to parse data or a field as JSON , converting JSON objects into named fields. The JSON example in the docs matches the structure of option C.
The other options are not JSON. A is key-value style text, B is access-log style text, and D is plain text with a timestamp and message. Those would require other parsing approaches, not parseJson().


NEW QUESTION # 57
A correlation rule is generating a high volume of detections. You have been asked to temporarily deactivate it so your team can investigate.
What will happen to previously generated detections while the rule is in a deactivated state?

Answer: B

Explanation:
The correct answer is A . Deactivating a correlation rule stops it from generating new detections, but previously generated detections remain available in the console for review and investigation. Rule deactivation affects future rule execution state rather than retroactively changing, closing, or deleting detections that have already been created. That is why options B, C, and D are incorrect.


NEW QUESTION # 58
You are reviewing a lookup file to determine whether an event was successfully parsed during ingestion.
Which metadata field indicates the event's parsing status?

Answer: D

Explanation:
The @event_parsed metadata field indicates whether an event was successfully parsed during ingestion, allowing engineers to verify parsing success and troubleshoot issues with log data.


NEW QUESTION # 59
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "web01", "message": "Out of memory"} Which parsing function is correct to add a missing timezone field?

Answer: B

Explanation:
The correct answer is D . CrowdStrike LogScale's timestamp parsing documentation gives this exact pattern as the example for a JSON event whose ts field contains 2018/11/01 14:31:10 with no timezone present. The documented solution is:
parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts) This works because the event is JSON, so parseJson() is the right first step, and the timestamp format matches the sample exactly. Since the timestamp string does not include timezone information, CrowdStrike documentation says you must provide a timezone parameter to parseTimestamp().
Why the other options are incorrect:
A is wrong because the format string does not match the timestamp. The event uses 2018/11/01 14:31:10, which is yyyy/MM/dd HH:mm:ss, not dd/MMM/yyyy:HH:mm:ss Z. Also, the sample timestamp does not include a Z timezone token in the raw string. B and C are wrong because kvParse() is for key-value logs, not JSON logs, and this event is clearly JSON. CrowdStrike's built-in parser documentation distinguishes JSON parsing from KV parsing, and the timestamp example for missing timezone specifically uses parseJson() with parseTimestamp().


NEW QUESTION # 60
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