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| Section | Weight | Objectives |
|---|---|---|
| Search and Investigation | 30% | - Search Processing Language (SPL)
|
| Administration and Maintenance | 25% | - System Health Monitoring
|
| Log Management and Data Collection | 25% | - Data Sources and Connectors
|
| Dashboards and Reporting | 20% | - Visualization Techniques
|
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NEW QUESTION # 58
What is the recommended order of the three required activities to build an efficient CQL query?
Answer: A
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 # 59
When deploying the Falcon Log Collector using the commands in the CrowdStrike Fleet Management interface, what is the correct service name?
Answer: A
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 # 60
You need to import a pre-built workflow into Fusion SOAR to automate a part of your incident response process.
Which file format would you use?
Answer: B
Explanation:
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.
NEW QUESTION # 61
As a Next-Gen SIEM Engineer, you are responsible for managing and tuning correlation rules to improve the detection of potential security incidents. One of your correlation rules is designed to detect multiple failed login attempts that are followed by a successful login within a short time frame.
Which step would you take to tune this correlation rule to reduce false positives while maintaining its effectiveness?
Answer: C
Explanation:
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.
NEW QUESTION # 62
An analyst creates a rule to detect privilege escalation by monitoring changes to administrative group memberships across Active Directory systems.
Answer: D
Explanation:
Privilege escalation is tracked through identity and access logs.
NEW QUESTION # 63
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