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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer
Exam Number:SPLK-5002
Related Certifications:Splunk Core Certified User
Splunk Enterprise Security Certified Admin
Splunk SOAR Certified Automation Developer
Passing Score:65-70% (variable)
Real Exam Qty:82
Available Languages:English
Exam Format:Multiple select, Hands-on lab simulation, Multiple choice
Exam Price:$200 USD
Certificate Validity Period:3 years
Exam Duration:120 minutes
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

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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
  • 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 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
  • 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 5
  • 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q66-Q71):

NEW QUESTION # 66
What are essential steps in developing threat intelligence for a security program?(Choosethree)

Answer: A,B,D

Explanation:
Threat intelligence in Splunk Enterprise Security (ES) enhances SOC capabilities by identifying known attack patterns, suspicious activity, and malicious indicators.
Essential Steps in Developing Threat Intelligence:
Collecting Data from Trusted Sources (A)
Gather data from threat intelligence feeds (e.g., STIX, TAXII, OpenCTI, VirusTotal, AbuseIPDB).
Include internal logs, honeypots, and third-party security vendors.
Analyzing and Correlating Threat Data (C)
Use correlation searches to match known threat indicators against live data.
Identify patterns in network traffic, logs, and endpoint activity.
Operationalizing Intelligence Through Workflows (E)
Automate responses using Splunk SOAR (Security Orchestration, Automation, and Response).
Enhance alert prioritization by integrating intelligence into risk-based alerting (RBA).


NEW QUESTION # 67
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?

Answer: D

Explanation:
The appropriate operationalization step is to convert the threat-hunting discovery into a correlation search .
The question distinguishes between a one-time manual notable created by an analyst and repeatable detection logic capable of identifying the same behavior automatically in future telemetry. A correlation search is the Splunk Enterprise Security mechanism designed to run detection logic on a defined schedule and trigger configured security outcomes when matching events are found.
A SOAR playbook is primarily a response and orchestration mechanism. It can enrich, contain, notify, or otherwise act on findings, but it is not the correct replacement for the core analytic responsible for continuously detecting the behavior. Similarly, applying a risk modifier could contribute evidence to Risk- Based Alerting, but it does not by itself satisfy the explicit requirement to automatically produce findings matching the threat-hunting activity.
The engineering progression represented here is therefore: hunt # validate suspicious behavior # convert the successful hypothesis into a repeatable correlation search # generate analyst-consumable findings .
Study Guide topics: threat hunting, correlation searches, detection operationalization, notable findings, detection lifecycle.


NEW QUESTION # 68
What field is used by default to direct data into CIM data model datasets?

Answer: C

Explanation:
By default, data is directed into CIM (Common Information Model) data model datasets using the tag field. Tags applied to events determine which datasets the events populate, enabling normalization and alignment with CIM.


NEW QUESTION # 69
A company wants to implement risk-based detection for privileged account activities.
Whatshould they configure first?

Answer: C

Explanation:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
#Key Steps for Risk-Based Detection in Splunk ES:1##Define Privileged Accounts & Groups - Identify high- risk users (Admin, HR, Finance, CISO).2##Assign Risk Scores - Apply higher scores to actions involving privileged users.3##Enable Identity & Asset Correlation - Link users to assets for better detection.
4##Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
#Example in Splunk ES:
A domain admin logs in from an unusual location # Trigger high-risk alert A finance director downloads sensitive payroll data at midnight # Escalate for investigation Why Not the Other Options?
#B. Correlation searches with low thresholds - May generate excessive false positives, overwhelming the SOC.#C. Event sampling for raw data - Doesn't provide context for risk-based detection.#D. Automated dashboards for all accounts - Useful for visibility, but not the first step for risk-based security.
References & Learning Resources
#Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based-alerting.
html#Privileged Account Monitoring in Splunk: https://docs.splunk.com/Documentation/ES/latest/User
/RiskBasedAlerting#Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.
com


NEW QUESTION # 70
Risk scores are associated with how many levels of risk in Enterprise Security by default?

Answer: A

Explanation:
By default, Splunk Enterprise Security associates risk scores with five levels: Info, Low, Medium, High, and Critical. These levels help prioritize security events and focus analyst attention on the most impactful risks.


NEW QUESTION # 71
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