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Splunk SPLK-5002 Exam Overview:

Certification Vendor:	Splunk
Exam Name:	Splunk Certified Cybersecurity Defense Engineer Exam
Exam Number:	SPLK-5002
Related Certifications:	Splunk Core Certified Power User Splunk Certified Cybersecurity Defense Analyst
Real Exam Qty:	60
Available Languages:	English
Passing Score:	700 / 1000
Exam Format:	Multiple choice, Multiple response
Exam Price:	$130 USD
Certificate Validity Period:	3 years
Exam Duration:	75 minutes
Recommended Training:	Splunk Training & Certification
Exam Registration:	Pearson VUE Registration
Sample Questions:	Splunk SPLK-5002 Sample Questions
Exam Way:	Online proctored or onsite testing center via Pearson VUE
Pre Condition:	Recommended: Splunk Certified Cybersecurity Defense Analyst, or equivalent experience; Splunk Core Certified Power User knowledge
Official Syllabus URL:	https://www.splunk.com/en_us/training/certification/splk-5002-cybersecurity-defense-engineer.html

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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.
Topic 5	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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q67-Q72):

NEW QUESTION # 67
What is Enterprise Security ' s default way of determining the urgency of a finding (notable event)?

A. Take into account the priority assigned to the asset/identity as well as the severity value assigned to the finding.
B. Add risk scores for associated objects within a network.
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: A

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 # 68
What cardinality of data should be used in an indexed field to optimize and speed up searches?

A. High cardinality, meaning that there is a great deal of variance in the data contained in the field.
B. Secure cardinality, meaning that only security relevant values are contained in the field.
C. Compliant cardinality, meaning that only values that contain non-PII/PHI are contained in the field.
D. Low cardinality, meaning that there is little variance in the data contained in the field.

Answer: D

Explanation:
To optimize and speed up searches, indexed fields should have low cardinality, meaning they contain relatively few unique values (e.g., status codes, country codes). Low cardinality fields are more efficient for indexing and searching compared to high cardinality fields with many unique values (like usernames or IP addresses).

NEW QUESTION # 69
Which elements are critical for documenting security processes?(Choosetwo)

A. Detailed event logs
B. Visual workflow diagrams
C. Incident response playbooks
D. Customer satisfaction surveys

Answer: B,C

Explanation:
Effective documentation ensures that security teams canstandardize response procedures, reduce incident response time, and improve compliance.
#1. Visual Workflow Diagrams (B)
Helpsmap out security processesin an easy-to-understand format.
Useful for SOC analysts, engineers, and auditors to understandincident escalation procedures.
Example:
Incident flow diagramsshowing escalation fromTier 1 SOC analysts # Threat hunters # Incident response teams.
#2. Incident Response Playbooks (C)
Definesstep-by-step response actionsfor security incidents.
Standardizes how teams shoulddetect, analyze, contain, and remediate threats.
Example:
ASOAR playbookfor handlingphishing emails(e.g., extract indicators, check sandbox results, quarantine email).
#Incorrect Answers:
A: Detailed event logs# Logs areessential for investigationsbut do not constituteprocess documentation.
D: Customer satisfaction surveys# Not relevant tosecurity process documentation.
#Additional Resources:
NIST Cybersecurity Framework - Incident Response
Splunk SOAR Playbook Documentation

NEW QUESTION # 70
The threat-hunting team has identified suspicious activity. An analyst manually creates a notable event using an event action to track the activity. How should a detection engineer ensure this activity automatically produces findings in the future?

A. Create a SOAR playbook to identify events matching the activity and assign an urgency.
B. Create a correlation search to produce notable events for the activity.
C. Create a risk modifier for events matching the activity.
D. Create a SOAR playbook to assign risk modifiers for events matching the activity.

Answer: B

Explanation:
To ensure that suspicious activity consistently generates findings in the future, the detection engineer should create a correlation search for the identified activity. This automates detection by continuously monitoring for the same pattern and producing notable events when it occurs again.

NEW QUESTION # 71
What are key benefits of using summary indexing in Splunk? (Choose two)

A. Reduces storage space required for raw data
B. Provides automatic field extraction during indexing
C. Increases data retention period
D. Improves search performance on aggregated data

Answer: C,D

Explanation:
Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.
Key Benefits of Summary Indexing:
Improves Search Performance on Aggregated Data (B)
Reduces query execution time by storing pre-calculated results.
Helps SOC teams analyze trends without running resource-intensive searches.
Increases Data Retention Period (D)
Raw logs may have short retention periods, but summary indexes can store key insights for longer.
Useful for historical trend analysis and compliance reporting.

NEW QUESTION # 72
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