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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Log Management and Data Collection | 25% | - Data Normalization
|
| Topic 2: Dashboards and Reporting | 20% | - Visualization Techniques
|
| Topic 3: Search and Investigation | 30% | - Search Processing Language (SPL)
|
| Topic 4: Administration and Maintenance | 25% | - System Health Monitoring
|
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NEW QUESTION # 34
Which three System alerts are enabled by default in Next-Gen SIEM for third-party connectors?
Answer: B
Explanation:
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.
NEW QUESTION # 35
What is the recommended order of the three required activities to build an efficient CQL query?
Answer: B
Explanation:
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.
NEW QUESTION # 36
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: A
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 # 37
Which field should be used in a correlation rule when detections must be based on the original event occurrence time?
Answer: D
Explanation:
@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.
NEW QUESTION # 38
When deploying the Falcon Log Collector using the commands in the CrowdStrike Fleet Management interface, what is the correct service name?
Answer: D
Explanation:
The Falcon Log Collector service is named logscale-collector, which is used in installation, enrollment, and management commands when deploying via the CrowdStrike Fleet Management interface.
NEW QUESTION # 39
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