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Splunk SPLK-5002 Exam Overview:
| Certification Vendor: | Splunk |
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| Exam Name: | Splunk Certified Cybersecurity Defense Engineer |
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| Exam Number: | SPLK-5002 |
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| Exam Duration: | 120 minutes |
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| Certificate Validity Period: | 3 years |
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| Available Languages: | English |
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| Exam Format: | Multiple choice, Hands-on lab simulation, Multiple select |
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| Real Exam Qty: | 82 |
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| Passing Score: | 65-70% (variable) |
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| Related Certifications: | Splunk Enterprise Security Certified Admin Splunk Core Certified User Splunk SOAR Certified Automation Developer |
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| Exam Price: | $200 USD |
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| Sample Questions: | Splunk SPLK-5002 Sample Questions |
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| Exam Way: | Online proctored exam at Pearson VUE testing centers or remote proctoring |
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| 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 |
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| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html |
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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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.
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| Topic 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q71-Q76):
NEW QUESTION # 71
What is Enterprise Security ' s default way of determining the urgency of a finding (notable event)?
- A. Add risk scores for associated objects within a network.
- B. Take into account the priority assigned to the asset/identity as well as the severity value assigned to the finding.
- C. Leverage the scheduling priority of the detection to know what ' s most critical.
- D. Multiply the risk score of a detection by how many times it has run.
Answer: B
Explanation:
Enterprise Security determines notable-event urgency by combining the severity associated with the finding with the priority of the affected asset or identity . This produces a more context-aware prioritization model than simply treating every detection result with the same severity as equally important.
For example, identical suspicious behavior occurring on an ordinary workstation and on a critical production server may warrant different analyst priorities. Asset and identity enrichment supplies organizational context, while the detection contributes the severity of the observed security condition. Enterprise Security uses those dimensions to derive urgency so analysts can focus first on events with the greatest operational importance.
Option A incorrectly mixes detection execution frequency with risk scoring. Scheduling priority in B controls search execution considerations rather than analyst-facing notable urgency. Option C describes risk accumulation concepts but is not the default notable-event urgency calculation.
The supplied study material reinforces this architecture through its questions on asset priority , Assets & Identities enrichment, critical-asset prioritization, and Enterprise Security risk handling.
Study Guide topics: notable urgency, severity, asset priority, identity priority, Assets & Identities Framework, finding prioritization.
NEW QUESTION # 72
Which of the following is not a type of metadata that can be returned by the metadata command?
- A. sourcetypes
- B. assets
- C. sources
- D. hosts
Answer: B
Explanation:
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.
NEW QUESTION # 73
A security team needs a dashboard to monitor incident resolution times across multiple regions.
Whichfeature should they prioritize?
- A. Disabling drill-down for simplicity
- B. Including all raw data logs for transparency
- C. Real-time filtering by region
- D. Using static panels for historical trends
Answer: C
Explanation:
A real-time incident dashboard helps SOC teams track resolution times by region, severity, and response efficiency.
#1. Real-time Filtering by Region (A)
Allows dynamic updates on incident trends across different locations.
Helps SOC teams identify regional attack patterns.
Example:
A dashboard with dropdown filters to switch between:
North America # Incident MTTR (Mean Time to Respond): 2 hours.
Europe # Incident MTTR: 5 hours.
#Incorrect Answers:
B: Including all raw data logs for transparency # Dashboards should show summarized insights, not raw logs.
C: Using static panels for historical trends # Static panels don't allow real-time updates.
D: Disabling drill-down for simplicity # Drill-down allows deeper investigation into regional trends.
#Additional Resources:
Splunk Dashboard Design Best Practices
NEW QUESTION # 74
Which actions can optimize case management in Splunk?(Choosetwo)
- A. Reducing the number of search heads
- B. Integrating Splunk with ITSM tools
- C. Standardizing ticket creation workflows
- D. Increasing the indexing frequency
Answer: B,C
Explanation:
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.
NEW QUESTION # 75
For detections that leverage a CIM data model, which aspect of the configuration is responsible for determining which indexes are being searched?
- A. The data model's eval expression.
- B. The data model's index list.
- C. The data model's dataset hierarchy.
- D. The data model's constraint macro.
Answer: D
Explanation:
For detections using a CIM data model, the data model's constraint macro defines which indexes are searched. This macro ensures that only relevant indexed data is pulled into the data model, controlling the search scope for detections.
NEW QUESTION # 76
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