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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 20% | - Ingestion methods and integration strategies - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration - Connector components and management - First-party vs third-party data sources - Fleet management and log collector deployment |
| Topic 2: User Management | 20% | - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment - Repository-level access control - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles - SSO/SAML configuration and claim mapping |
| Topic 3: Automation and Integration | 20% | - Automated response and remediation - Falcon Fusion SOAR workflow design and automation - External system integration - Integration with FalconPy and other tools - API access and token management |
| Topic 4: Parsing | 20% | - AI-generated parsers and advanced syntax - Monitoring and resolving parsing errors - CrowdStrike Parsing Standards and normalization - Parser testing and validation - Parser creation, modification and cloning - Log format identification and handling |
| Topic 5: Content Creation | 20% | - Correlation rules creation, tuning and management - First-party vs third-party detections - CQL query design, building and optimization - Content deployment and version control - Dashboard creation and customization - Lookup file management and utilization |
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NEW QUESTION # 35
Which CQL statement below includes correct placement of the AND statements and the pipe symbol?
Answer: B
Explanation:
The correct answer is C . In CQL, boolean conditions such as AND belong inside filter expressions, while pipeline functions like groupBy() and select() must be separated with the pipe (|) operator. CrowdStrike syntax guidance shows that functions are chained through the pipeline and should not be combined with AND. Option C correctly uses AND for the filter logic and uses pipes to separate the aggregation and projection steps.
NEW QUESTION # 36
Which combination of scope and permissions must be configured to create an API token that allows you to create and get the results of a query job in Next-Gen SIEM?
Answer: A
NEW QUESTION # 37
What is the recommended order of the three required activities to build an efficient CQL query?
Answer: C
Explanation:
The correct answer is B . CrowdStrike's query best-practices documentation says to filter first , then do transformations/formatting, then aggregate , and finally do any output-style post-processing such as table
/sorting. Among the choices given, Filter > Aggregate > Format is the best match because formatting/output belongs at the end for efficiency.
This is also consistent with CrowdStrike's explanation that CQL pipelines chain filter and transformation steps before aggregate functions, and that aggregate functions produce new result structures rather than raw events.
NEW QUESTION # 38
You notice a larger than expected ingest delay from one of your high-volume streaming log collectors.
Which setting should you increase on the log collector to improve performance?
Answer: C
Explanation:
The correct answer is C. Number of concurrent requests a sink is using .
CrowdStrike's Falcon LogScale Collector sizing guidance states that in high throughput scenarios where the ingestion endpoint becomes a bottleneck, it can be beneficial to increase the number of concurrent requests a sink is using through the workers setting. The docs explicitly say this helps when the number of parallel requests is limiting throughput.
The same document also explains why D is wrong: increasing the memory queue size does not increase sink throughput. The queue exists to keep data available for the sink; if throughput is lower than the incoming data rate, the queue will eventually fill up anyway.
So:
* C is correct because more sink workers can improve performance in high-volume conditions.
* D is incorrect because queue size does not fix the throughput bottleneck.
* A and B are not the documented tuning setting for this issue in the collector guidance.
NEW QUESTION # 39
While ingesting Falcon telemetry into a SIEM, analysts notice inconsistent field mappings across different log sources, causing failed correlation rule execution.
Answer: B
Explanation:
Normalization and parsing ensure consistent field structures required for correlation.
NEW QUESTION # 40
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