CCSE-204 Exam Dumps - CrowdStrike CCSE Questions and Answers

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().

The correct answer is D. @event_parsed .

CrowdStrike LogScale’s parser error documentation explicitly states that @event_parsed indicates whether the event has been successfully parsed during ingest . The same documentation says it is set to false when there was a parsing error. That exactly matches the question.

Why the other options are incorrect:

@ingesttimestamp represents the time the platform ingested the event, not whether parsing succeeded. @rawstring contains the original raw event data. @error_msg can contain error details, but it is not the primary field that directly indicates parse success or failure. The field CrowdStrike documents for parsing status is @event_parsed .

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The correct answer is B . CrowdStrike’s query best-practices documentation says to filter first , then do transformations/formatting, then aggregate , and finally do any output-style post-processing such as table/sorting. Among the choices given, Filter > Aggregate > Format is the best match because formatting/output belongs at the end for efficiency.

This is also consistent with CrowdStrike’s explanation that CQL pipelines chain filter and transformation steps before aggregate functions, and that aggregate functions produce new result structures rather than raw events.

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@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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The groupBy() function is used to aggregate events by one or more fields, such as hostname, and return counts or other aggregate calculations. table() displays selected fields but does not perform grouped aggregation. parseJson() and kvParse() are parsing functions, not aggregation functions.

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The correct answer is C. Assignment Operator .

In Falcon LogScale parser and query syntax, the assignment operator := is used to assign a value to a new field. CrowdStrike’s LogScale documentation explains that := is shorthand for eval, and that it can also be used as shorthand with functions that support an as parameter to assign results to a named output field. This is the right approach when you want to create an ECS field while preserving the existing Vendor field , because you are creating an additional field rather than replacing the original one.

Why the other options are not the best answer:

Regular Expression Field Extraction is used to extract values from raw text when the value is not already parsed, so it is not the normal choice when you already have a Vendor field and simply want to map it to an ECS field as well. As Parameter can name the output field of certain functions, but the CrowdStrike documentation for rename() shows that renaming changes the field name, which does not meet the requirement to keep both field names visible. The rename() examples explicitly state that the original field names are replaced with the new field names.

So for a parser requirement that says “add ECS while maintaining Vendor,” the operationally correct method is to assign the Vendor value into a new ECS field , not rename the Vendor field away.

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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 .

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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 C . Default system alerting for third-party connectors in Next-Gen SIEM focuses on connector health and ingestion-governance conditions. The three enabled-by-default alerts are: connector disconnected , daily data ingestion limit exceeded , and monthly data ingestion limit exceeded . These three alert conditions monitor both connectivity and consumption thresholds for third-party data connectors. Options containing “Resolve alerts within 30 days” are incorrect because that is not an alert condition.

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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.