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| Section | Weight | Objectives |
|---|---|---|
| Automation and Integration | 20% | - Falcon Fusion SOAR workflow design and automation - External system integration - Integration with FalconPy and other tools - Automated response and remediation - API access and token management |
| Parsing | 20% | - Monitoring and resolving parsing errors - Parser creation, modification and cloning - Log format identification and handling - CrowdStrike Parsing Standards and normalization - Parser testing and validation - AI-generated parsers and advanced syntax |
| Content Creation | 20% | - Lookup file management and utilization - Dashboard creation and customization - First-party vs third-party detections - CQL query design, building and optimization - Correlation rules creation, tuning and management - Content deployment and version control |
| Data Ingestion | 20% | - First-party vs third-party data sources - Connector components and management - Built-in and custom data connector configuration - Troubleshooting ingestion and connectivity issues - Fleet management and log collector deployment - Ingestion methods and integration strategies |
| User Management | 20% | - Multi-factor authentication (MFA) setup - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles - Custom role creation and permission assignment - Repository-level access control - SSO/SAML configuration and claim mapping |
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NEW QUESTION # 39
What is the purpose of labels in Fleet Management?
Answer: B
Explanation:
CrowdStrike's Fleet Management documentation for Falcon LogScale Collector explains that labels are used to associate metadata with a Fleet Management configuration and with collector instances so they can be tagged, identified, organized, and filtered. The docs specifically describe labels as helping organize collectors by criteria such as environment, region, service, or other custom values. That directly matches option B:
Categorize collectors for group configurations .
Why the other options are incorrect:
Option A is incorrect because labels are not used for authentication or password management.
Option C is incorrect because labels do not perform traffic monitoring; they are metadata for organization and selection.
Option D is incorrect because labels do not assign network settings such as IP addresses.
NEW QUESTION # 40
Which default role will maintain least privilege and allow for creation and management of parsers?
Answer: D
Explanation:
The correct answer is B. NG SIEM Security Lead . Parser creation and management requires elevated SIEM content and configuration capabilities that go beyond standard analyst activity, but it does not require the full breadth of platform-wide administrative control. NG SIEM Security Lead is the default role that best fits parser management while still maintaining least privilege compared with NG SIEM Administrator . NG SIEM Analyst and NG SIEM Analyst - Read Only do not provide the content-management level access needed for parser administration. CrowdStrike's SIEM role separation supports using the Security Lead role for advanced SIEM content configuration tasks.
NEW QUESTION # 41
You are configuring third-party data for ingestion. Once a connection is established, you see the HTTP response code 413 as received by your data shipper.
What does this response code indicate?
Answer: B
Explanation:
HTTP 413 indicates that the request entity is too large. In the context of data ingestion, this means the payload sent by the data shipper exceeds the maximum size allowed by the receiving endpoint.
NEW QUESTION # 42
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login
Answer: D
Explanation:
The correct answer is D. Syslog . The sample log follows classic syslog structure: a syslog-style timestamp, hostname, process name with PID, and message body. CrowdStrike's LogScale Collector documentation includes Syslog as a source/parser context for logs of this format, making Syslog the appropriate default parser choice here.
NEW QUESTION # 43
Review the log sample below:
What type of parser should be used to extract fields and values from this log?
Answer: A
Explanation:
The log is a comma-separated string with consistent ordering of fields, making it suitable for parsing with a CSV parser, which can extract each field based on the delimiter.
NEW QUESTION # 44
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