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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 20% | - Troubleshooting ingestion and connectivity issues - Ingestion methods and integration strategies - Built-in and custom data connector configuration - First-party vs third-party data sources - Fleet management and log collector deployment - Connector components and management |
| Topic 2: Automation and Integration | 20% | - Integration with FalconPy and other tools - External system integration - Falcon Fusion SOAR workflow design and automation - Automated response and remediation - API access and token management |
| Topic 3: User Management | 20% | - Custom role creation and permission assignment - SSO/SAML configuration and claim mapping - Repository-level access control - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles - Multi-factor authentication (MFA) setup |
| Topic 4: Content Creation | 20% | - First-party vs third-party detections - Dashboard creation and customization - CQL query design, building and optimization - Content deployment and version control - Correlation rules creation, tuning and management - Lookup file management and utilization |
| Topic 5: Parsing | 20% | - AI-generated parsers and advanced syntax - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - Parser testing and validation - Parser creation, modification and cloning - Log format identification and handling |
>> CCSE-204 Reliable Test Topics <<
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NEW QUESTION # 58
Which field should be used in a correlation rule when detections must be based on the original event occurrence time?
Answer: A
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 # 59
What are the two types of connectors used to integrate data between third-party systems and Falcon?
Answer: B
Explanation:
Falcon integrates with third-party systems using Push connectors, which send data to Falcon, and Pull connectors, which retrieve data from external sources. These two types enable flexible data ingestion and synchronization.
NEW QUESTION # 60
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?
Answer: C
Explanation:
When logs have timestamps in a different timezone, cloning the parser and specifying the correct timezone parameter in the parseTimestamp() function ensures accurate time parsing without altering field names or losing data.
NEW QUESTION # 61
An analyst notices that certain critical logs are missing from SIEM during a security incident due to misconfigured log forwarding.
Answer: D
Explanation:
Ensuring proper log ingestion is critical for visibility.
NEW QUESTION # 62
You want a consistent view of events from various data sources.
Which ECS field type should you normalize?
Answer: C
Explanation:
Elastic's official ECS guidelines define Core fields as the fields most common across use cases and explicitly state that analysis content built on these fields should work properly on data from any relevant source. They also say to focus on populating these fields first . CrowdStrike's CPS builds on ECS and is intended to standardize field names and structures across different data sources for consistent searching and analysis.
Together, that makes Core fields the right answer when your goal is a consistent cross-source view.
Why the other options are incorrect:
* Extended fields are useful, but ECS defines them as anything not in the core set, so they are not the primary normalization target for broad consistency.
* Base fields and Detection fields are not the correct ECS field-type answer to this question as framed.
NEW QUESTION # 63
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