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CrowdStrike CCSE-204 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Dashboards and Reporting20%- Visualization Techniques
  • 1. Dashboard creation
  • 2. Report scheduling
Topic 2: Log Management and Data Collection25%- Data Normalization
  • 1. Common Information Model (CIM)
  • 2. Parsing rules
- Data Sources and Connectors
  • 1. Cloud-native log sources
  • 2. Third-party integrations
Topic 3: Search and Investigation30%- Search Processing Language (SPL)
  • 1. Basic search commands
  • 2. Statistical functions
- Incident Investigation
  • 1. Evidence gathering
  • 2. Timeline analysis
Topic 4: Administration and Maintenance25%- System Health Monitoring
  • 1. Storage management
  • 2. Performance tuning
- Access Control
  • 1. Role-based access
  • 2. Authentication methods

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CrowdStrike Certified SIEM Engineer Sample Questions (Q54-Q59):

NEW QUESTION # 54
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 # 55
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: C

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

Answer: C

Explanation:
The parseJson() function is used to parse logs that are in JSON format, allowing extraction of fields such as level, msg, and user into structured, searchable data.


NEW QUESTION # 57
How does a first-party detection differ from a third-party detection?

Answer: B

Explanation:
The correct answer is D .
CrowdStrike's Falcon Next-Gen SIEM materials distinguish between CrowdStrike detections and third- party detections , and also state that Falcon Next-Gen SIEM extends data collection to third-party data sources . That means first-party detections are native to the Falcon platform, while third-party detections originate from data sources outside the platform that have been onboarded into Next-Gen SIEM.
Why the other options are incorrect:
A is wrong because third-party detections are not defined as detections created by the customer's team.
B is wrong because the distinction is not based on visibility permissions.
C is wrong because CrowdStrike does not define first-party detections as inherently higher severity than third- party detections.


NEW QUESTION # 58
Which function is most appropriate for extracting fields from logs formatted as key=value pairs?

Answer: B

Explanation:
kvParse() is designed for logs that use key=value structure. It extracts the keys and values into searchable fields. parseJson() is for JSON objects, parseCsv() is for delimited positional records, and parseXml() is for XML-formatted content.


NEW QUESTION # 59
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