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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Automation and Integration | 20% | - API access and token management - Falcon Fusion SOAR workflow design and automation - Automated response and remediation - Integration with FalconPy and other tools - External system integration |
| Topic 2: Content Creation | 20% | - CQL query design, building and optimization - Dashboard creation and customization - Correlation rules creation, tuning and management - Lookup file management and utilization - First-party vs third-party detections - Content deployment and version control |
| Topic 3: User Management | 20% | - Custom role creation and permission assignment - Audit log monitoring and usage - Role-based access control (RBAC) and built-in roles - SSO/SAML configuration and claim mapping - Repository-level access control - Multi-factor authentication (MFA) setup |
| Topic 4: Parsing | 20% | - Log format identification and handling - AI-generated parsers and advanced syntax - Monitoring and resolving parsing errors - Parser testing and validation - Parser creation, modification and cloning - CrowdStrike Parsing Standards and normalization |
| Topic 5: Data Ingestion | 20% | - Built-in and custom data connector configuration - Connector components and management - Fleet management and log collector deployment - Troubleshooting ingestion and connectivity issues - Ingestion methods and integration strategies - First-party vs third-party data sources |
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NEW QUESTION # 42
What is the time format for the @timestampfield when data is parsed using the CrowdStrike Parsing Standard (CPS)?
Answer: D
Explanation:
The @timestamp field in CrowdStrike Parsing Standard (CPS) uses the ISO 8601 format, which provides a standardized, human-readable, and timezone-aware representation of date and time for consistent log processing and correlation.
NEW QUESTION # 43
What dashboard presents a view of third-party data ingestion over the past 30 days?
Answer: A
Explanation:
The Next-Gen SIEM Connector Dashboard provides visibility into third-party data ingestion, showing metrics such as volume, trends, and connector health over time, including the past 30 days.
NEW QUESTION # 44
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: D
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 # 45
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 # 46
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "webOl", "message": "Out of
memory"}
Which parsing function is correct to add a missing timezone field?
parseJson() | parseTimestamp("dd/MMM/yyyy:HH:mm:ss Z",
Answer: B
Explanation:
The log is in JSON format, so parseJson() is needed to extract fields.
The timestamp format matches yyyy/MM/dd HH:mm:ss, and adding the timezone parameter assigns the missing timezone correctly.
NEW QUESTION # 47
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