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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer
Exam Number:SPLK-5002
Available Languages:English
Real Exam Qty:82
Exam Price:$200 USD
Related Certifications:Splunk SOAR Certified Automation Developer
Splunk Core Certified User
Splunk Enterprise Security Certified Admin
Passing Score:65-70% (variable)
Certificate Validity Period:3 years
Exam Duration:120 minutes
Exam Format:Hands-on lab simulation, Multiple select, Multiple choice
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
  • 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 2
  • 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 3
  • 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 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
  • 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 (Q31-Q36):

NEW QUESTION # 31
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?

Answer: A

Explanation:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.


NEW QUESTION # 32
When creating a detection that searches user activity across CIM-compliant data, which CIM field should be reviewed to ensure that data is aggregated appropriately?

Answer: B

Explanation:
The correct field is user , because Splunk ' s Common Information Model provides normalized fields that allow heterogeneous security data sources to be queried consistently. Authentication, endpoint, identity, operating-system, and application logs frequently use different native names for the same concept-for example, username, account_name, UserName, or src_user. CIM mappings normalize the appropriate value into the canonical user field.
This becomes particularly important when a detection performs aggregation such as:
| stats count by user
If contributing sources fail to populate user consistently, activity belonging to the same account can be fragmented, omitted, or incorrectly represented in the detection results. action identifies the result or nature of activity rather than the account responsible for it. user_id may occur in individual schemas but is not the general CIM field being tested here. identity represents a different conceptual object and is not the standard aggregation field for this use case.
The question appears on page 1 of the supplied certification material.
Study Guide topics: Common Information Model, CIM normalization, normalized fields, data-model consistency, user attribution, detection data preparation.


NEW QUESTION # 33
When building detections using the Authentication Data Model, which values are recommended for use against the actions field?

Answer: D

Explanation:
In the Authentication Data Model, the recommended values for the action field are success, failure, pending, and error. These standardized values ensure consistent mapping across authentication data sources for accurate detection and reporting.


NEW QUESTION # 34
Which of the following traces specific stages of an attack lifecycle?

Answer: A

Explanation:
The Lockheed Martin Cyber Kill Chain traces specific stages of an attack lifecycle, from reconnaissance through actions on objectives. It is widely used to understand, detect, and disrupt adversary behavior at each stage of an intrusion.


NEW QUESTION # 35
In the context of Splunk's Common Information Model (CIM), which constraint ensures that events from different data sources appear in the applicable data model?

Answer: D

Explanation:
In Splunk's Common Information Model (CIM), tags are the constraint that ensures events from different data sources are mapped into the correct data model. By applying consistent tags (e.g., authentication, email, network), CIM can normalize diverse data sources into a unified schema.


NEW QUESTION # 36
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