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CrowdStrike Certified SIEM Engineer Sample Questions (Q56-Q61):

NEW QUESTION # 56
In the Next-Gen SIEM Connector Dashboard, what is the maximum retention period for which you can query third-party data ingestion metrics?

Answer: C

Explanation:
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.


NEW QUESTION # 57
A correlation rule is generating a high volume of detections. You have been asked to temporarily deactivate it so your team can investigate.
What will happen to previously generated detections while the rule is in a deactivated state?

Answer: A

Explanation:
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.


NEW QUESTION # 58
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "web01", "message": "Out of memory"} Which parsing function is correct to add a missing timezone field?

Answer: B

Explanation:
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().


NEW QUESTION # 59
What should you do with a field that is not CPS-compliant when adding it to a parser?

Answer: B

Explanation:
The correct answer is D. Prefix the field with Vendor .
CrowdStrike's CPS documentation says that when an event contains fields that do not exist in ECS , their names should be prefixed with the string literal Vendor. . The same guidance also says to always keep the original Vendor. field when normalizing third-party fields to ECS . That directly matches option D.
Why the other options are incorrect:
CPS does not tell you to remove non-ECS fields or leave them unstructured without normalization. It also does not say every non-compliant field must be converted into ECS. Instead, the standard preserves those vendor-specific fields under the Vendor. namespace.


NEW QUESTION # 60
You notice that the format of incoming logs suddenly changes from JSON format to key-value pairs during log collection.
What action would you take to parse the data correctly?

Answer: B

Explanation:
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.


NEW QUESTION # 61
......

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