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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer (CDE)
Exam Number:SPLK-5002
Exam Duration:75 minutes
Exam Price:$130 USD
Real Exam Qty:60
Available Languages:English
Related Certifications:Splunk Certified Cybersecurity Defense Analyst
Exam Format:Multiple choice, Scenario-based multiple choice
Passing Score:Not publicly disclosed (Pass/Fail)
Certificate Validity Period:Not publicly specified
Recommended Training:Splunk Enterprise Security Fundamentals
Splunk SOAR Automation Training
Exam Registration:Pearson VUE Splunk Exams
Official Splunk Certification Registration
Sample Questions:Splunk SPLK-5002 Sample Questions
Exam Way:Online proctored or test center (Pearson VUE)
Pre Condition:No formal prerequisites required, but Splunk Certified Cybersecurity Defense Analyst knowledge is strongly recommended.
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html

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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
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.
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.
Topic 3
  • 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.
Topic 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.
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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q68-Q73):

NEW QUESTION # 68
The Director of Security would like to understand the operational efficiency of the SOC analysts at a high level. What is a metric that can be used to determine their efficiency?

Answer: D

Explanation:
MTTR - Mean Time to Respond/Resolve - is the most appropriate high-level indicator of SOC analyst operational efficiency among the choices provided. It measures how quickly the SOC progresses from identification of an actionable security condition through investigation and response or resolution, depending on the organization ' s specific MTTR definition.
MTTD, or Mean Time to Detect, primarily measures detection capability and telemetry/detection-engineering effectiveness rather than analyst processing efficiency. A strong SOC could have excellent analyst workflows yet still exhibit a high MTTD if telemetry coverage or detection content is weak. MTBR is generally associated with reliability or recurrence-oriented measurements and is not the primary SOC analyst efficiency metric. MTTI can measure investigation duration in some organizations, but MTTR provides the broader executive-level operational indicator requested by the question.
For leadership reporting, MTTR is most useful when segmented by severity, incident class, team, or reporting period; a single aggregate average can otherwise be distorted by extreme cases. The supplied Cybersecurity Defense Engineer material emphasizes measurable SOC lifecycle metrics and distinguishes operational performance indicators from simple activity counts.
Study Guide topics: SOC performance metrics, operational efficiency, MTTR, incident lifecycle measurement, security-program reporting.


NEW QUESTION # 69
Which of the following is the most efficient search to return a list of all visible indexes and the sourcetypes contained within them?

Answer: B

Explanation:
The most efficient way to return all visible indexes and their sourcetypes is with | tstats values(sourcetype) where index=* by index. The tstats command leverages data model acceleration and metadata, making it faster and more resource-efficient than raw searches like index=*.


NEW QUESTION # 70
Which of the following is a reason to utilize an index-based search (index=...) over a data model search (| tstats...) in a detection?

Answer: B

Explanation:
An index-based search should be used when the raw event fields contain more detail than the data model. Data models normalize and may omit certain fields, so searching the index directly ensures all relevant information is available for the detection.


NEW QUESTION # 71
Based on this example image, if it is detected that a member has been added to a security-enabled local group, how many risk events will be created?

Answer: A

Explanation:
The configuration shown contains two separate Risk Modifiers , so a single detection result will generate two risk events .
The first Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: src
* Risk Object Type: system
The second Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: user
* Risk Object Type: user
Splunk Enterprise Security creates a separate risk event for each configured risk modifier because each modifier applies risk to a distinct risk object . In this example, one event attributes risk to the source system represented by src, while another attributes risk to the account represented by user.
The two scores are not added together to determine the number of events . Therefore, option A (20) confuses total numerical risk contribution with event count, while option C (10) represents the score assigned to each individual risk event rather than the number created. Option B is incorrect because there are two configured risk objects.
This configuration is a common Risk-Based Alerting pattern: one suspicious action can simultaneously contribute risk to multiple entities involved in the activity.
Study Guide topics: Risk Analysis Adaptive Response Action, Risk Modifiers, risk objects, risk object types, risk scores, Risk-Based Alerting.


NEW QUESTION # 72
For detections that leverage a CIM data model, which aspect of the configuration is responsible for determining which indexes are being searched?

Answer: C

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 # 73
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