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Splunk SPLK-5002 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
トピック 2
  • Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
トピック 3
  • Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
トピック 4
  • Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
トピック 5
  • Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.

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Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q25-Q30):

質問 # 25
What is the purpose of leveraging REST APIs in a Splunk automation workflow?

正解:A

解説:
Splunk's REST API allows external applications and security tools to automate workflows, integrate with Splunk, and retrieve/search data programmatically.
#Why Use REST APIs in Splunk Automation?
Automates interactions between Splunk and other security tools.
Enables real-time data ingestion, enrichment, and response actions.
Used in Splunk SOAR playbooks for automated threat response.
Example:
A security event detected in Splunk ES triggers a Splunk SOAR playbook via REST API to:
Retrieve threat intelligence from VirusTotal.
Block the malicious IP in Palo Alto firewall.
Create an incident ticket in ServiceNow.
#Incorrect Answers:
A: To configure storage retention policies # Storage is managed via Splunk indexing, not REST APIs.
C: To compress data before indexing # Splunk does not use REST APIs for data compression.
D: To generate predefined reports # Reports are generated using Splunk's search and reporting functionality, not APIs.
#Additional Resources:
Splunk REST API Documentation
Automating Workflows with Splunk API


質問 # 26
How can an engineer verify if results will return for a potential detection based on historical events within the organization?

正解:A

解説:
To verify if a potential detection will return results, the engineer should run the detection against production data in the same Splunk instance. This ensures the query is tested against actual historical events from the organization's environment, confirming whether it generates meaningful results.


質問 # 27
A security engineer is tasked with improving threat intelligence sharing within the company.
Whatis the most effective first step?

正解:D

解説:
Improving Threat Intelligence Sharing in an Organization
Threat intelligence enhances cybersecurity by providing real-time insights into emerging threats.
#1. Implement a Real-Time Threat Feed Integration (A)
Enables real-time ingestion of threat indicators (IOCs, IPs, hashes, domains).
Helps automate threat detection and blocking.
Example:
Integrating STIX/TAXII, Splunk Threat Intelligence Framework, or a SOAR platform for live threat updates.
#Incorrect Answers:
B: Restrict access to external threat intelligence sources # Sharing intelligence enhances security, not restricting it.
C: Share raw threat data with all employees # Raw intelligence needs analysis and context before distribution.
D: Use threat intelligence only for executive reporting # SOC analysts, incident responders, and IT teams need actionable intelligence.
#Additional Resources:
Splunk Threat Intelligence Framework
How to Integrate STIX/TAXII in Splunk


質問 # 28
Which of the following is not a type of metadata that can be returned by the metadata command?

正解:D

解説:
Assets are not one of the metadata types returned by Splunk ' s metadata command. The command supports indexed metadata categories including hosts, sources, and sourcetypes , making option C the exception.
Typical examples include:
| metadata type=hosts
| metadata type=sources
| metadata type=sourcetypes
The command provides summarized information about indexed data and can expose attributes such as event counts and first or last observed times without requiring analysts to perform a broad raw-event search. This makes it useful when validating data availability, determining whether a particular host or sourcetype is still reporting, and performing general data-source inventory work.
An asset , by contrast, is an enriched security entity within the broader Enterprise Security context. Asset information can be maintained through Assets and Identities mechanisms and associated lookup structures, but it is not a metadata command type.
The distinction is important in security data engineering. Indexed metadata describes how Splunk stores and categorizes incoming event data; asset context describes organizational entities and their attributes. Confusing those layers can result in inefficient searches or incorrect assumptions about where contextual information resides.
Study Guide topics: metadata, hosts, sources, sourcetypes, indexed metadata, data-source inventory, Assets and Identities.


質問 # 29
Which of the following is a methodology to help prevent malicious lateral movement?

正解:A

解説:
Zero Trust is a security methodology that helps prevent malicious lateral movement by enforcing the principle of "never trust, always verify." It restricts access based on continuous verification, least privilege, and microsegmentation, making it harder for attackers to move laterally within the network.


質問 # 30
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