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| Section | Objectives |
|---|---|
| Topic 1: Exam domains (official detailed syllabus not publicly disclosed) | - Security event ingestion, normalization, and correlation concepts - Operational use of CrowdStrike Falcon modules for SIEM engineering tasks - Dashboards, reporting, and alerting configuration - CrowdStrike SIEM and log analysis fundamentals - Threat detection and incident investigation workflows in CrowdStrike platform |
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NEW QUESTION # 46
In the Next-Gen SIEM Connector Dashboard, what is the maximum retention period for which you can query third-party data ingestion metrics?
Answer: B
Explanation:
The Next-Gen SIEM Connector Dashboard allows querying third-party data ingestion metrics for up to 90 days, providing visibility into trends and connector performance over this period.
NEW QUESTION # 47
You are reviewing a lookup file to determine whether an event was successfully parsed during ingestion.
Which metadata field indicates the event's parsing status?
Answer: A
Explanation:
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 .
NEW QUESTION # 48
An organization wants to detect command-and-control beaconing behavior characterized by periodic outbound connections to suspicious domains at regular intervals.
Answer: C
Explanation:
Beaconing patterns require behavioral detection, not just static IOC matching.
NEW QUESTION # 49
You notice a larger than expected ingest delay from one of your high-volume streaming log collectors.
Which setting should you increase on the log collector to improve performance?
Answer: C
Explanation:
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.
NEW QUESTION # 50
What should you do with a field that is not CPS-compliant when adding it to a parser?
Answer: D
Explanation:
Fields that are not CrowdStrike Parsing Standard (CPS)-compliant should be prefixed with Vendor to indicate their source and maintain compatibility with CPS conventions, ensuring consistent parsing and integration.
NEW QUESTION # 51
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