CCSE-204 CrowdStrike Engineer Free Practice Exam Questions (2026 Updated)

The correct answer is A. All . Falcon Next-Gen SIEM is designed to unify first-party Falcon telemetry with third-party ingested data in a single investigation and search experience. When the query needs to include both Falcon Sensor data and third-party connector data, the correct data source selection is the one that includes both categories together, which is All . CrowdStrike describes Next-Gen SIEM as correlating native Falcon data with third-party sources to provide a unified security view.

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.

==========

The correct answer is D. 500 . In CrowdStrike Next-Gen SIEM correlation content limits, the maximum number of active correlation rules allowed in a single CID is 500 . This represents the upper bound for enabled rule objects at the customer-ID level and is intended to balance detection scale with performance and manageability of rule-driven detections. This is why the other options are incorrect and 500 is the correct limit.

==========

In the Next-Gen SIEM Connector Dashboard (specifically within the CrowdStrike Falcon ecosystem), the maximum retention period for which you can query third-party data ingestion metrics is 90 days .

Why 90 Days?

While the actual log data (telemetry) in a Next-Gen SIEM can often be retained for a year or longer depending on the subscription (e.g., 365 days), the health and ingestion metrics —which include data such as volume throughput, connector status, and ingestion rates—are typically stored for a shorter duration. This 90-day window is designed to provide enough historical context for:

Troubleshooting: Identifying when a specific connector started failing.

Trend Analysis: Monitoring changes in data volume over a fiscal quarter.

Capacity Planning: Reviewing average ingestion rates to ensure they stay within licensed limits.

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.

==========

The correct answer is B .

CrowdStrike’s Falcon LogScale Collector debug documentation says the monitor command launches a monitor terminal application and can be used to see a live view of the running state of the collector. It explicitly states that the running sources, queues and sinks can be inspected in real time . That exactly matches the question.

Why the other options are incorrect:

A can help review service logs, but it is not the documented real-time visualization command for sources and sinks.

C and D do not match the documented command for this purpose in the collector troubleshooting documentation.

==========

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 .

==========

The best-supported answer is D. .YAML .

CrowdStrike’s recent Falcon Fusion SOAR technical content shows workflow structures represented in YAML . In particular, CrowdStrike’s workflow-based pagination example for Falcon Fusion SOAR says, “The following YAML shows the workflow structure,” and then provides the workflow definition in YAML form. That indicates YAML is the workflow definition format used in documented examples for reusable/pre-built workflow structures.

Why the other options are incorrect:

A (.CPP) and C (.PY) are programming language source files, not workflow import formats for Fusion SOAR. B (.JSON) is heavily used elsewhere in the platform for schemas, API payloads, and structured data, but the CrowdStrike materials I found that specifically show workflow structure present it in YAML , not JSON. Based on that documented workflow representation, .YAML is the correct answer here.

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 . 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.

==========

The correct answer is A. Use a multi-source configuration with different parsers per source .

CrowdStrike’s Falcon LogScale Collector documentation states that parsers can be set for each source . The collector configuration model also explains that the Sources section defines the source of the data, filters to be applied, and parsers . That means when different log formats are being collected, the correct design is to separate them by source and assign the appropriate parser to each source.

Why the other options are incorrect:

Switching to fleet mode or monitoring logs does not itself correct parsing logic. Restarting in debug mode may help troubleshoot, but it does not solve the format mismatch. Disabling parsing would make the data less useful, not more useful. The documented way to handle parser differences is to apply parsers at the source level.

==========

The correct answer is A . CrowdStrike documentation states that when a timestamp does not include timezone information, or when you need to control timezone interpretation, you should pass the timezone parameter to parseTimestamp() or findTimestamp(). Since parsers are where ingest-time transformations are defined, the correct engineering approach is to create or clone a custom parser for that log source and explicitly apply the needed timezone handling there. CrowdStrike’s custom parser docs explain that parsers are used to control how incoming events are transformed during ingest, and the timestamp parsing docs explain that timezone can be set directly in the parser logic.

Why the other options are incorrect:

B is not the documented parser-side solution. While changing the source may work operationally in some environments, CrowdStrike’s parsing guidance focuses on fixing time interpretation in the parser by using timezone or related timestamp parsing controls. C is incorrect because changing the timestamp field name does not solve timezone parsing. D is incorrect because dropping the source timestamp and relying on ingest time would lose the original event time, which is exactly what parsers are meant to preserve by converting source timestamps into @timestamp. CrowdStrike explicitly states that one of the most important jobs of a parser is assigning correct timestamps to events.

==========

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.

The least-privilege role for users who only need to view dashboards, searches, and investigation data without making changes is NG SIEM Analyst – Read Only . This role is designed for visibility without content modification or administrative access. The other roles provide broader operational or management permissions.

==========

A CPS-compliant approach keeps the original Vendor field while also assigning the value to a normalized ECS field. This preserves source fidelity and enables standardized search and detections. Renaming away the original field loses source context, and storing only in @rawstring prevents structured analysis.

==========

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.

==========

The correct answer is C. logscale-collector .

CrowdStrike’s Falcon LogScale Collector installation documentation states that the service name varies by installation method. It explicitly says that for Full Installation the service is called logscale-collector , while Custom Installation uses humio-log-collector . Since the question specifically refers to deployment using the Fleet Management interface commands , that aligns with the Full Installation workflow, so the correct service name is logscale-collector .

==========