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Splunk SPLK-5002 Exam Overview:

Certification Vendor:	Splunk
Exam Name:	Splunk Certified Cybersecurity Defense Engineer
Exam Number:	SPLK-5002
Exam Price:	$200 USD
Related Certifications:	Splunk Core Certified User Splunk Enterprise Security Certified Admin Splunk SOAR Certified Automation Developer
Real Exam Qty:	82
Exam Format:	Multiple choice, Hands-on lab simulation, Multiple select
Exam Duration:	120 minutes
Available Languages:	English
Certificate Validity Period:	3 years
Passing Score:	65-70% (variable)
Sample Questions:	Splunk SPLK-5002 Sample Questions
Exam Way:	Online proctored exam at Pearson VUE testing centers or remote proctoring
Pre Condition:	Splunk Core Certified User, Splunk Enterprise Security Certified Admin, and Splunk SOAR Certified Automation Developer recommended; minimum 1-2 years hands-on Splunk security experience strongly advised
Official Syllabus URL:	https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html

>> SPLK-5002日本語参考 <<

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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	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 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	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 4	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 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.

Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q22-Q27):

質問 # 22
When creating a new playbook to be called directly from Mission Control or Enterprise Security, which type of playbook must be used?

A. Response
B. Automation
C. Input
D. Process

正解：C

解説：
An Input playbook is the appropriate playbook type when the workflow must be invoked directly from Splunk Mission Control or Enterprise Security. Input playbooks are designed with an externally supplied input interface so that another Splunk security product can provide the data required by the playbook at invocation time.
This distinction matters because externally initiated playbooks need a defined contract describing what values the calling system passes into the workflow. Mission Control or Enterprise Security may provide information associated with the finding, event, entity, indicator, or investigation. The Input playbook can then use those supplied values for enrichment, investigation, containment, or other automated actions.
A generic Automation playbook is focused on orchestration logic but does not represent the specific external invocation model being tested. "Process" and "Response" are distractors in this context and do not identify the required playbook type.
Architecturally, Input playbooks help decouple the upstream detection platform from SOAR implementation details: Enterprise Security identifies the security condition and passes structured information, while SOAR executes the automated workflow.
Study Guide topics: Splunk SOAR playbook types; Input playbooks; Mission Control integration; Enterprise Security integration; external playbook invocation.

質問 # 23
Which Splunk feature enables integration with third-party tools for automated response actions?

A. Event sampling
B. Data model acceleration
C. Workflow actions
D. Summary indexing

正解：C

解説：
Security teams use Splunk Enterprise Security (ES) and Splunk SOAR to integrate with firewalls, endpoint security, and SIEM tools for automated threat response.
Workflow Actions (B) - Key Integration Feature
Allows analysts to trigger automated actions directly from Splunk searches and dashboards.
Can integrate with SOAR playbooks, ticketing systems (e.g., ServiceNow), or firewalls to take action.
Example:
Block an IP on a firewall from a Splunk dashboard.
Trigger a SOAR playbook for automated threat containment.

質問 # 24
What framework in Enterprise Security allows engineers to build detections using known malicious IOCs, comparing them to event logs to find suspicious behavior?

A. OSINT Framework
B. Asset & Intelligence Framework
C. Incident Management Framework
D. Threat Intelligence Framework

正解：D

解説：
The Threat Intelligence Framework provides the Enterprise Security capability for managing known indicators of compromise and correlating those indicators with observed event data. It is therefore the framework used when engineers want to compare malicious IOCs against telemetry to identify suspicious activity.
Indicators can represent objects such as IP addresses, domains, URLs, file hashes, certificates, or other observable threat artifacts. Enterprise Security processes and normalizes threat intelligence so that matching logic can compare those intelligence objects against compatible fields contained in security events.
For example, a known malicious domain may be compared against DNS or web telemetry, while a malicious IP address may be compared against network connections. A match can subsequently contribute to a finding, risk event, enrichment workflow, or additional investigation depending on the implemented detection strategy.
The Assets & Identities functionality concerns organizational context around entities rather than IOC matching. Incident management handles investigation and response workflows. OSINT describes a category of intelligence collection but is not the Enterprise Security framework requested.
Study Guide topics: Threat Intelligence Framework; IOCs; threat matching; threat-intelligence normalization; event correlation; indicator-based detection.

質問 # 25
Consider the following series of events:
4:00 GMT Detection runs for interval 3:30-4:00
4:30 GMT Detection runs for interval 4:00-4:30
4:35 GMT Event 1 occurs on an endpoint
4:45 GMT Event 1 is indexed
5:00 GMT Detection runs for interval 4:30-5:00
5:05 GMT Event 1 finding is added to ES with timestamp 4:35
5:24 GMT Event 2 occurs on an endpoint
5:30 GMT Detection runs for interval 5:00-5:30
5:35 GMT Event 2 is indexed
6:00 GMT Detection runs for interval 5:30-6:00
What is the problem with the detection schedule chosen and how can it be solved?

A. The logs are delayed so the detection time window needs to be increased.
B. The logs are delayed so the detection time window needs to be decreased.
C. The time window for the detection is too small, causing duplicate alerts.
D. The time window for the detection is too large, causing duplicate alerts.

正解：A

解説：
In this scenario, events are indexed after the scheduled detection window has already executed, meaning detections miss relevant events. This happens due to log ingestion delay. The solution is to increase the detection time window (or use a delay offset) so that detections account for delayed logs, ensuring events like Event 1 and Event 2 are included in the proper detection run.

質問 # 26
An engineer receives a report that the "Traffic over time by action" dashboard is not populating. It has been confirmed that the relevant logs are being ingested properly and they are CIM compliant. What other configuration may be missing?

A. The Network Traffic data model should be accelerated.
B. The Network Sessions data model has been deleted.
C. The Network Sessions data model should be accelerated.
D. The Performance data model is missing the network dataset.

正解：A

解説：
The "Traffic over time by action" dashboard relies on the Network Traffic data model. For it to populate correctly, the data model must be accelerated, ensuring that the dashboard can pull from the accelerated summaries instead of raw data.

質問 # 27
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