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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Maintenance | 25% | - Access Control
|
| Topic 2: Search and Investigation | 30% | - Search Processing Language (SPL)
|
| Topic 3: Dashboards and Reporting | 20% | - Visualization Techniques
|
| Topic 4: Log Management and Data Collection | 25% | - Data Sources and Connectors
|
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NEW QUESTION # 56
The parseJson() function would be used to parse which log message format from the list below?
Answer: D
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
Which command helps visualize in real time whether sources and sinks are working properly in the Log Collector?
Answer: B
Explanation:
The correct answer is B .
CrowdStrike's Falcon LogScale Collector debug documentation says the monitor command launches a monitor terminal application and can be used to see a live view of the running state of the collector. It explicitly states that the running sources, queues and sinks can be inspected in real time . That exactly matches the question.
Why the other options are incorrect:
A can help review service logs, but it is not the documented real-time visualization command for sources and sinks.
C and D do not match the documented command for this purpose in the collector troubleshooting documentation.
NEW QUESTION # 58
A SIEM detects large volumes of outbound data transfers during non-business hours from a sensitive database server to an external IP address.
Answer: A
Explanation:
Unusual outbound data volume at odd times suggests exfiltration.
NEW QUESTION # 59
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?
Answer: B
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 # 60
You are creating an AI-generated parser to process and normalize log data from various sources.
How would you ensure the parser accurately interprets and categorizes the log data?
Answer: A
Explanation:
The correct answer is B . CrowdStrike states that AI-generated parsers are built from sample log records .
Falcon Next-Gen SIEM analyzes those samples to learn the logs' structure and content, so providing representative examples is the documented way to help the parser interpret and categorize data correctly.
Options A and C are not supported by CrowdStrike documentation. There is no requirement for a minimum parser length, and Next-Gen SIEM parsers are not written as Python or Java programs; CrowdStrike's parser template shows a parser schema and script structure specific to Next-Gen SIEM.
NEW QUESTION # 61
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