CCSE-204 Exam Dumps - CrowdStrike CCSE Questions and Answers

The correct answer is C. Select “Manage Internal Logging” from the menu .

CrowdStrike LogScale Collector documentation for Fleet Management explicitly describes the steps to enable internal logging from the Fleet view. It says to go to Data Ingest > Fleet Overview , click the ellipsis next to the specific collector instance, and then click Manage Internal Logging . From there, you can enable logging and choose where to send it.

Why the other options are incorrect:

A is incorrect because reinstalling the collector is not required. B is incorrect because the question specifically asks how to do it from the Fleet view , and the documented UI action is through the menu in Fleet Management, not by manually editing the local config. D is incorrect because the documentation does not describe enabling internal logging by restarting the service with a special flag.

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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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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 C. NGSIEM with both read and write permissions .

CrowdStrike integration guidance for querying Next-Gen SIEM event data states that the API client needs the NGSIEM scope with both Read and Write permissions . The documentation explains why: Write is required to create the search/query job, and Read is required to retrieve the query results.

Why the other options are incorrect:

A is incorrect because the documented requirement is Read + Write ; there is no documented “execute” permission in the cited guidance. B is incorrect because read-only access would let you read results but not create the query job. D is incorrect because write-only access would let you submit the job but not read the results back.

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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 B. sudo logscale-collector enroll < TOKEN > .

Current CrowdStrike LogScale Collector documentation shows the enrollment command using the logscale-collector binary. For example, the macOS custom installation page explicitly shows:

sudo logscale-collector enroll enrolltoken

The Fleet Management enrollment documentation also explains that you copy the enrollment command from the UI and run it on the machine hosting the collector.

Why the other options are incorrect:

A is a Windows path, not Linux. C reflects the older humio-log-collector naming that existed in earlier versions and release history, but the current docs use logscale-collector for the enrollment command. D does not match the documented command syntax. CrowdStrike’s current documentation centers the enrollment workflow on logscale-collector enroll < token > .

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The correct answer is B . The best tuning step is to exclude known trusted IP addresses so the rule still detects suspicious sequences while removing known-benign sources of repeated authentication activity. CrowdStrike has publicly documented this tuning principle in detection content guidance, noting that to avoid false positives, organizations may want to exclude certain IP ranges, ASNs, or ISPs from a rule when those sources are expected or trusted. That directly supports the idea that adding a trusted-IP exclusion reduces noise while preserving the core detection logic.

Why the other options are incorrect:

A would usually increase noise because a larger time window captures more benign failed logins. C would also increase false positives because lowering the failed-attempt threshold makes the rule easier to trigger. D weakens the original attack logic by removing the “failed logins followed by success” sequence that makes the rule more specific and meaningful. Keeping the core sequence intact while adding exclusions for known benign sources is the most precise tuning approach.

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.

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