Pass the CrowdStrike CrowdStrike CCSE CCSE-204 Questions and answers with CertsForce

The correct answer is D. Next-Gen SIEM Connector Dashboard .

CrowdStrike describes the Falcon Next-Gen SIEM Connector Dashboard as the place to understand the status and volume of data ingestion for third-party sources. This matches the question’s requirement for a dashboard showing third-party ingestion visibility.

The other options are not aimed at third-party SIEM connector ingestion monitoring:

Sensor Usage Dashboard relates to Falcon sensor usage, not connector-based third-party ingestion.

Sensor Subscription Dashboard is about licensing/subscription counts.

Falcon Flex Dashboard is related to subscription consumption and commercial usage, not connector ingestion telemetry.

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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.

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. 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.

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The correct answer is C .

CrowdStrike’s CPS documentation explicitly lists the CPS-compliant parser tags, and the relevant four event parser tags in that list are #event.dataset , #event.kind , #event.module , and #event.outcome . That exactly matches option C.

Why the other options are incorrect:

event.category is an important event categorization field in CPS, but it is not one of the four parser tags listed in the CPS tag set that this question is asking about. The documented parser tag list includes event.dataset , event.kind , event.module , and event.outcome .

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.

@timestamp represents the time the event actually occurred and is the appropriate field for event-time-based detections and correlations. @ingesttimestamp reflects when the platform received the event, which may differ due to delays. @rawstring is raw event content, and @id is not a time field.

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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 correct answer is B . CrowdStrike LogScale documentation includes parseCEF() , parseJson() , and parseXml() as valid parsing functions. parseCEF() parses CEF-encoded messages, parseJson() parses JSON data into fields, and parseXml() parses XML content into fields.

The other options are incorrect because parseIETF() is not a valid CQL parse function in the documented parsing function set, and option D also contains malformed syntax with parseXml(.

The correct answer is A. 9 GB .

CrowdStrike’s Falcon LogScale Collector sizing documentation states that memory requirement for memory queues is linearly proportional to the number of sinks plus a constant baseline requirement of 1 GB . The documentation gives a worked example: 1 GB baseline + queue sizes for each sink .

For this question:

Number of sinks = 4

Queue size per sink = 2 GB

Total sink memory = 4 × 2 GB = 8 GB

Add baseline memory = 1 GB

So the minimum memory requirement is:

8 GB + 1 GB = 9 GB .

That is why:

A. 9 GB is correct

B. 12 GB , C. 10 GB , and D. 8 GB are incorrect because they do not match CrowdStrike’s documented sizing formula for memory queues.