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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Content Creation | 20% | - CQL query design, building and optimization - Dashboard creation and customization - Content deployment and version control - Correlation rules creation, tuning and management - First-party vs third-party detections - Lookup file management and utilization |
| Topic 2: User Management | 20% | - Role-based access control (RBAC) and built-in roles - Multi-factor authentication (MFA) setup - Custom role creation and permission assignment - SSO/SAML configuration and claim mapping - Repository-level access control - Audit log monitoring and usage |
| Topic 3: Parsing | 20% | - Parser creation, modification and cloning - Monitoring and resolving parsing errors - Log format identification and handling - CrowdStrike Parsing Standards and normalization - AI-generated parsers and advanced syntax - Parser testing and validation |
| Topic 4: Automation and Integration | 20% | - Automated response and remediation - Integration with FalconPy and other tools - API access and token management - External system integration - Falcon Fusion SOAR workflow design and automation |
| Topic 5: Data Ingestion | 20% | - First-party vs third-party data sources - Ingestion methods and integration strategies - Fleet management and log collector deployment - Connector components and management - Troubleshooting ingestion and connectivity issues - Built-in and custom data connector configuration |
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NEW QUESTION # 68
A SIEM ingestion pipeline drops events due to high throughput, leading to gaps in visibility during a suspected attack investigation.
Answer: D
Explanation:
Scaling ensures no data loss and complete visibility.
NEW QUESTION # 69
An event has the following fields:
Which CQL query will output the frequency of a unique set of ComputerName, UserName, CommandLine?
Answer: A
Explanation:
CrowdStrike LogScale documentation states that groupBy() is used to group events by one or more specified fields, similar to SQL GROUP BY. The documentation also says the function parameter accepts aggregate functions, and its default is count(as=_count). That means the query that explicitly groups by ComputerName, UserName, and CommandLine and applies function=count() is the correct way to output the frequency of each unique combination of those three fields.
Why the other options are incorrect:
A is incorrect because table() formats output rows but does not aggregate unique combinations into frequencies the way groupBy() does. Adding count() after table() does not produce grouped counts for each unique triplet. B is incorrect because table() is not the aggregation function documented for grouped frequency counting; groupBy() is. D is close, but it relies on the default count behavior rather than explicitly specifying function=count(). Since the question asks which query will output the frequency of a unique set, C is the most correct and explicit choice.
NEW QUESTION # 70
Following the principle of least privilege, which is the appropriate role to grant a Falcon Next-Gen SIEM user the permissions to read case data and write XDR data while denying the permission to write case templates?
Answer: C
Explanation:
The NG SIEM Analyst role allows reading case data and writing XDR data while restricting administrative actions such as modifying or writing case templates, aligning with the principle of least privilege.
NEW QUESTION # 71
You have been tasked with parsing the following space-delimited log:
2025-06-03 12:13:07 johndoe 192.168.5.15 login
The log source data is guaranteed to always be in the same order.
Which function can parse this log?
Answer: A
Explanation:
The correct answer is C. parseCsv() .
CrowdStrike LogScale documentation for parseCsv() states that the function supports a configurable delimiter parameter, and it is used to split a field into named columns. Because this log is space-delimited and the values are always in the same order, parseCsv() is the appropriate parser function by specifying a space as the delimiter and naming the columns in order.
Why the other options are incorrect:
* A. parseCEF() is for CEF-formatted logs, which this event is not.
* B. parseJson() is for JSON, and this event is plain text.
* D. parseFixedWidth() is meant for logs where each field occupies a strict character width.
CrowdStrike's docs describe it as valuable when data must maintain strict positional formatting and defined field lengths. This question only guarantees field order , not fixed character widths, so parseFixedWidth() is not the best match.
NEW QUESTION # 72
What should you do with a field that is not CPS-compliant when adding it to a parser?
Answer: D
Explanation:
Fields that are not CrowdStrike Parsing Standard (CPS)-compliant should be prefixed with Vendor to indicate their source and maintain compatibility with CPS conventions, ensuring consistent parsing and integration.
NEW QUESTION # 73
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