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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Automation and Integration | 20% | - Falcon Fusion SOAR workflow design and automation - API access and token management - External system integration - Integration with FalconPy and other tools - Automated response and remediation |
| Topic 2: Data Ingestion | 20% | - Ingestion methods and integration strategies - First-party vs third-party data sources - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration - Connector components and management - Fleet management and log collector deployment |
| Topic 3: Content Creation | 20% | - Correlation rules creation, tuning and management - Dashboard creation and customization - Lookup file management and utilization - First-party vs third-party detections - CQL query design, building and optimization - Content deployment and version control |
| Topic 4: User Management | 20% | - Custom role creation and permission assignment - Multi-factor authentication (MFA) setup - SSO/SAML configuration and claim mapping - Role-based access control (RBAC) and built-in roles - Audit log monitoring and usage - Repository-level access control |
| Topic 5: Parsing | 20% | - AI-generated parsers and advanced syntax - Parser creation, modification and cloning - Monitoring and resolving parsing errors - Log format identification and handling - Parser testing and validation - CrowdStrike Parsing Standards and normalization |
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NEW QUESTION # 35
You notice that the format of incoming logs suddenly changes from JSON format to key-value pairs during log collection.
What action would you take to parse the data correctly?
Answer: A
Explanation:
When log formats vary, a multi-source configuration allows assigning the appropriate parser (e.g., JSON, key-value) to each data source, ensuring correct extraction and processing of all incoming logs.
NEW QUESTION # 36
You have been tasked with parsing the following space delimited log:
2025-06-03 12:13:07 johndoe 192.168.5.15 login
The log source data is guaranteed to always be in the same order.
Which function can parse this log?
Answer: C
Explanation:
Even though the log is space-delimited, parseCsv() can parse consistently ordered, delimited data by specifying the delimiter (in this case, a space), making it suitable for structured logs with a fixed field order.
NEW QUESTION # 37
What is the maximum number of active correlation rules in a CID?
Answer: C
Explanation:
The correct answer is D. 500 . In CrowdStrike Next-Gen SIEM correlation content limits, the maximum number of active correlation rules allowed in a single CID is 500 . This represents the upper bound for enabled rule objects at the customer-ID level and is intended to balance detection scale with performance and manageability of rule-driven detections. This is why the other options are incorrect and 500 is the correct limit.
NEW QUESTION # 38
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 # 39
Which three System alerts are enabled by default in Next-Gen SIEM for third-party connectors?
Answer: B
Explanation:
The correct answer is C . Default system alerting for third-party connectors in Next-Gen SIEM focuses on connector health and ingestion-governance conditions. The three enabled-by-default alerts are: connector disconnected , daily data ingestion limit exceeded , and monthly data ingestion limit exceeded . These three alert conditions monitor both connectivity and consumption thresholds for third-party data connectors.
Options containing "Resolve alerts within 30 days" are incorrect because that is not an alert condition.
NEW QUESTION # 40
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