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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Parsing | 20% | - AI-generated parsers and advanced syntax - Parser creation, modification and cloning - Monitoring and resolving parsing errors - Log format identification and handling - CrowdStrike Parsing Standards and normalization - Parser testing and validation |
| Topic 2: User Management | 20% | - Custom role creation and permission assignment - SSO/SAML configuration and claim mapping - Repository-level access control - Multi-factor authentication (MFA) setup - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles |
| Topic 3: Data Ingestion | 20% | - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration - Fleet management and log collector deployment - First-party vs third-party data sources - Ingestion methods and integration strategies - Connector components and management |
| Topic 4: Content Creation | 20% | - Content deployment and version control - Correlation rules creation, tuning and management - CQL query design, building and optimization - First-party vs third-party detections - Dashboard creation and customization - Lookup file management and utilization |
| Topic 5: Automation and Integration | 20% | - External system integration - Falcon Fusion SOAR workflow design and automation - API access and token management - Automated response and remediation - Integration with FalconPy and other tools |
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NEW QUESTION # 78
While analyzing Falcon data in SIEM, an analyst notices repeated DNS queries to algorithmically generated domain names from a single endpoint.
Answer: C
Explanation:
DGA domains are commonly used by malware for command-and-control.
NEW QUESTION # 79
You want a consistent view of events from various data sources.
Which ECS field type should you normalize?
Answer: D
Explanation:
Normalizing events to Core Fields in the Elastic Common Schema (ECS) provides a consistent structure across different data sources, enabling reliable search, correlation, and detection in Next-Gen SIEM.
NEW QUESTION # 80
You are performing a search query using data from the Falcon Sensor and third-party data connectors.
Which Advanced Event Search data source should you choose?
Answer: D
Explanation:
The correct answer is A. All . Falcon Next-Gen SIEM is designed to unify first-party Falcon telemetry with third-party ingested data in a single investigation and search experience. When the query needs to include both Falcon Sensor data and third-party connector data, the correct data source selection is the one that includes both categories together, which is All . CrowdStrike describes Next-Gen SIEM as correlating native Falcon data with third-party sources to provide a unified security view.
NEW QUESTION # 81
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: C
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 # 82
You are a Next-Gen SIEM Engineer responsible for parser creation. An internal requirement is to maintain both the Vendor and ECS field names within the Fields panel in Advanced Event Search.
What is the correct method for adding the ECS field while maintaining the Vendor field in a parser?
Answer: A
Explanation:
The correct answer is C. Assignment Operator .
In Falcon LogScale parser and query syntax, the assignment operator := is used to assign a value to a new field. CrowdStrike's LogScale documentation explains that := is shorthand for eval, and that it can also be used as shorthand with functions that support an as parameter to assign results to a named output field. This is the right approach when you want to create an ECS field while preserving the existing Vendor field , because you are creating an additional field rather than replacing the original one.
Why the other options are not the best answer:
Regular Expression Field Extraction is used to extract values from raw text when the value is not already parsed, so it is not the normal choice when you already have a Vendor field and simply want to map it to an ECS field as well. As Parameter can name the output field of certain functions, but the CrowdStrike documentation for rename() shows that renaming changes the field name, which does not meet the requirement to keep both field names visible. The rename() examples explicitly state that the original field names are replaced with the new field names.
So for a parser requirement that says "add ECS while maintaining Vendor," the operationally correct method is to assign the Vendor value into a new ECS field , not rename the Vendor field away.
NEW QUESTION # 83
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