CCSE-204 Exam Dumps - CrowdStrike Certified SIEM Engineer

When a third-party connector is disconnected, the correct response is to review the connector’s configuration, authentication, and health state, then reconnect or reauthorize it as needed. Deleting the parser does not address the connectivity problem, and ignoring the issue delays restoration of ingestion visibility.

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The best answer is C. NG SIEM Analyst .

I need to be careful here: I did not find a public CrowdStrike permissions matrix that explicitly lists this exact combination of rights by role. So this answer is the best-supported least-privilege inference , not one I can claim is directly documented 100%.

Why C is the strongest choice:

NG SIEM Analyst – Read Only would not fit because the question requires write XDR data permissions.

NGSIEM Administrator and NG SIEM Security Lead are broader roles and would not satisfy least privilege if a narrower analyst role can do the job.

That leaves NG SIEM Analyst as the most plausible least-privilege built-in role for reading case data and writing XDR data while not granting broader administrative capabilities. CrowdStrike’s Next-Gen SIEM materials describe the platform as combining centralized case management and XDR workflows, but the public pages I found do not expose the exact internal role matrix.

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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.

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.

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The correct answer is C. Number of concurrent requests a sink is using .

CrowdStrike’s Falcon LogScale Collector sizing guidance states that in high throughput scenarios where the ingestion endpoint becomes a bottleneck, it can be beneficial to increase the number of concurrent requests a sink is using through the workers setting. The docs explicitly say this helps when the number of parallel requests is limiting throughput.

The same document also explains why D is wrong: increasing the memory queue size does not increase sink throughput. The queue exists to keep data available for the sink; if throughput is lower than the incoming data rate, the queue will eventually fill up anyway.

So:

C is correct because more sink workers can improve performance in high-volume conditions.

D is incorrect because queue size does not fix the throughput bottleneck.

A and B are not the documented tuning setting for this issue in the collector guidance.

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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.

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The correct answer is B. NG SIEM Security Lead . Parser creation and management requires elevated SIEM content and configuration capabilities that go beyond standard analyst activity, but it does not require the full breadth of platform-wide administrative control. NG SIEM Security Lead is the default role that best fits parser management while still maintaining least privilege compared with NG SIEM Administrator . NG SIEM Analyst and NG SIEM Analyst – Read Only do not provide the content-management level access needed for parser administration. CrowdStrike’s SIEM role separation supports using the Security Lead role for advanced SIEM content configuration tasks.

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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().

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