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| Section | Weight | Objectives |
|---|---|---|
| Content Creation | 20% | - Correlation rules creation, tuning and management - Content deployment and version control - Lookup file management and utilization - CQL query design, building and optimization - First-party vs third-party detections - Dashboard creation and customization |
| Data Ingestion | 20% | - Ingestion methods and integration strategies - Connector components and management - Fleet management and log collector deployment - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration - First-party vs third-party data sources |
| Parsing | 20% | - CrowdStrike Parsing Standards and normalization - Monitoring and resolving parsing errors - AI-generated parsers and advanced syntax - Parser testing and validation - Parser creation, modification and cloning - Log format identification and handling |
| 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 |
| User Management | 20% | - SSO/SAML configuration and claim mapping - Role-based access control (RBAC) and built-in roles - Audit log monitoring and usage - Custom role creation and permission assignment - Repository-level access control - Multi-factor authentication (MFA) setup |
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NEW QUESTION # 19
What is the correct mode to enroll LogCollector into Fleet Management with configuration of the log sources stored and managed centrally in Next-Gen SIEM?
Answer: B
Explanation:
The Central enrollment mode configures the Log Collector to retrieve and manage its log source configurations from Next-Gen SIEM centrally, ensuring consistent management across the deployment.
NEW QUESTION # 20
You need to import a pre-built workflow into Fusion SOAR to automate a part of your incident response process.
Which file format would you use?
Answer: A
Explanation:
The best-supported answer is D. .YAML .
CrowdStrike's recent Falcon Fusion SOAR technical content shows workflow structures represented in YAML . In particular, CrowdStrike's workflow-based pagination example for Falcon Fusion SOAR says,
"The following YAML shows the workflow structure," and then provides the workflow definition in YAML form. That indicates YAML is the workflow definition format used in documented examples for reusable/pre- built workflow structures.
Why the other options are incorrect:
A (.CPP) and C (.PY) are programming language source files, not workflow import formats for Fusion SOAR. B (.JSON) is heavily used elsewhere in the platform for schemas, API payloads, and structured data, but the CrowdStrike materials I found that specifically show workflow structure present it in YAML , not JSON. Based on that documented workflow representation, .YAML is the correct answer here.
NEW QUESTION # 21
You need to provide a colleague the appropriate role to allow for configuration of connectors and creation of SOAR automations in Next-Gen SIEM.
Which role will provide these permissions while also maintaining least privilege?
Answer: D
Explanation:
The NG SIEM Security Lead role grants permissions to configure connectors and create SOAR automations while adhering to the principle of least privilege, avoiding unnecessary full administrative access.
NEW QUESTION # 22
Which field is compliant with CrowdStrike Parsing Standard (CPS)?
Answer: B
Explanation:
The #event.dataset field is a standard CrowdStrike Parsing Standard (CPS) tag used to categorize the source or type of event, ensuring consistent parsing and normalization across different data sources.
NEW QUESTION # 23
As a Next-Gen SIEM Engineer, you are responsible for managing and tuning correlation rules to improve the detection of potential security incidents. One of your correlation rules is designed to detect multiple failed login attempts that are followed by a successful login within a short time frame.
Which step would you take to tune this correlation rule to reduce false positives while maintaining its effectiveness?
Answer: B
Explanation:
The correct answer is B . The best tuning step is to exclude known trusted IP addresses so the rule still detects suspicious sequences while removing known-benign sources of repeated authentication activity.
CrowdStrike has publicly documented this tuning principle in detection content guidance, noting that to avoid false positives, organizations may want to exclude certain IP ranges, ASNs, or ISPs from a rule when those sources are expected or trusted. That directly supports the idea that adding a trusted-IP exclusion reduces noise while preserving the core detection logic.
Why the other options are incorrect:
A would usually increase noise because a larger time window captures more benign failed logins. C would also increase false positives because lowering the failed-attempt threshold makes the rule easier to trigger. D weakens the original attack logic by removing the "failed logins followed by success" sequence that makes the rule more specific and meaningful. Keeping the core sequence intact while adding exclusions for known benign sources is the most precise tuning approach.
NEW QUESTION # 24
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