Features of CrowdStrike CCSE-204 Web-Based Practice Exam

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CrowdStrike CCSE-204 Exam Syllabus Topics:

Section	Objectives
Topic 1: Exam domains (official detailed syllabus not publicly disclosed)	- Threat detection and incident investigation workflows in CrowdStrike platform - Operational use of CrowdStrike Falcon modules for SIEM engineering tasks - Dashboards, reporting, and alerting configuration - CrowdStrike SIEM and log analysis fundamentals - Security event ingestion, normalization, and correlation concepts

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CrowdStrike Certified SIEM Engineer Sample Questions (Q53-Q58):

NEW QUESTION # 53
An internal security team identified a small number of high-risk users. They ask you to create an app that will monitor these users and trigger an alert when specific suspicious behavior is detected.
Which Falcon feature should you use to develop this app?

A. Falcon Spotlight
B. Falcon QueryBuilder
C. Falcon Foundry
D. Charlotte AI

Answer: C

Explanation:
The correct answer is C. Falcon Foundry .
CrowdStrike describes Falcon Foundry as its application development platform for building custom apps on the Falcon platform. CrowdStrike's materials state that Falcon Foundry allows customers to quickly create their own apps, and the Foundry documentation/blog content shows it supports application logic and storage needed for custom workflows and monitoring use cases. That is exactly what fits a requirement to build an app that monitors a defined set of high-risk users and triggers alerts on suspicious activity.
Why the other options are incorrect:
Falcon QueryBuilder is for constructing queries, not building an application. Falcon Spotlight is CrowdStrike's vulnerability management capability, not an app-development framework. Charlotte AI is an AI assistant capability, not the platform feature used to develop custom monitoring apps. The only option that matches "develop this app" is Falcon Foundry .

NEW QUESTION # 54
Which command helps visualize in real time whether sources and sinks are working properly in the Log Collector?

A. logscale-collector --status
B. logscale-collector monitor
C. logscale-collector check
D. journalctl -u logscale-collector

Answer: B

Explanation:
The logscale-collector monitor command provides a real-time view of the Log Collector's operation, showing the status of sources and sinks to help ensure data is being ingested and processed correctly.

NEW QUESTION # 55
A SIEM rule generates excessive false positives due to normal administrative activities triggering alerts similar to malicious behavior.

A. Disable logging
B. Block all admin accounts
C. Increase alert severity
D. Tune detection rules and add context

Answer: D

Explanation:
Rule tuning with contextual filters reduces false positives without losing detection capability.

NEW QUESTION # 56
The parseJson() function would be used to parse which log message format from the list below?

A. 192.168.1.1 [192.168.1.1] - - [10/May/2024:14:23:11 +0000] "GET/index.html"
B. level=debug msg="Disconnected" host=app01
C. { "level": "info", "msg": "User login", "user": "john_doe" }
D. 2024-05-10T14:23:11Z INFO Service started

Answer: C

Explanation:
The correct answer is C . CrowdStrike documents parseJson() as the function used to parse data or a field as JSON , converting JSON objects into named fields. The JSON example in the docs matches the structure of option C.
The other options are not JSON. A is key-value style text, B is access-log style text, and D is plain text with a timestamp and message. Those would require other parsing approaches, not parseJson().

NEW QUESTION # 57
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "webOl", "message": "Out of
memory"}
Which parsing function is correct to add a missing timezone field?
parseJson() | parseTimestamp("dd/MMM/yyyy:HH:mm:ss Z",

A. timezone="Europe/Paris", field=ts)
kvParse() | findTimestamp(field=ts, timezone="Europe/London")
B. timezone="Europe/Paris", field=ts)
C. kvParse() | findTimestamp(timezone="America/New_York")
D. parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss",

Answer: B

Explanation:
The log is in JSON format, so parseJson() is needed to extract fields.
The timestamp format matches yyyy/MM/dd HH:mm:ss, and adding the timezone parameter assigns the missing timezone correctly.

NEW QUESTION # 58
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