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Splunk SPLK-5002 Exam Overview:

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

Topic	Details
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	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 3	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 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 (Q38-Q43):

NEW QUESTION # 38
When building a metrics dashboard for the SOC manager, which metric would represent how long it takes to fully complete an investigation?

A. MTTD
B. MTTA
C. MTTR
D. MTBF

Answer: C

Explanation:
MTTR (Mean Time to Resolution/Recovery/Respond) measures how long it takes to fully complete an investigation or resolve an incident. This is the key metric for tracking investigation completion time in SOC performance dashboards.

NEW QUESTION # 39
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?

A. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.
B. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
C. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
D. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.

Answer: B

Explanation:
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.

NEW QUESTION # 40
Based on the provided screenshot, it's discovered that different machines or accounts have been associated with the shown threat objects. Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?

A. Threat Intelligence, Assets & Identities
B. Threat Intelligence, Risk
C. Risk, Assets & Identities
D. Risk, Incident Review

Answer: C

Explanation:
The Risk framework aggregates risky behaviors and assigns risk scores to users, systems, or accounts, while the Assets & Identities framework enriches events by correlating them with identity and asset information. Together, they programmatically associate different machines and accounts back to a single owner, as shown with Fyodor in the screenshot.

NEW QUESTION # 41
What is the primary purpose of data indexing in Splunk?

A. To secure data from unauthorized access
B. To visualize data using dashboards
C. To ensure data normalization
D. To store raw data and enable fast search capabilities

Answer: D

Explanation:
The primary purpose of indexing in Splunk is to store incoming event data in a searchable structure and enable efficient retrieval during searches . Splunk processes incoming machine data, organizes it into indexes, preserves the event data, and creates index structures that allow searches to locate relevant events efficiently without treating the entire dataset as an unstructured file collection.
Indexing should be distinguished from normalization . CIM normalization generally occurs through knowledge objects, field extractions, aliases, event types, tags, and data-model mappings rather than being the fundamental purpose of indexing itself. Likewise, access controls can secure indexed data, but security is not the primary reason the indexing process exists. Dashboards consume search results and provide visualization; they are downstream of indexing and searching.
This distinction is important for detection engineers because search performance depends substantially on how data is indexed and how searches use indexed metadata. The supplied study material reinforces this through questions on tstats, metadata, visible indexes, sourcetypes, and accelerated data models, all of which rely on efficient indexed data structures.
Study Guide topics: Splunk indexing, searchable event storage, indexed metadata, tstats, sourcetypes, search performance, data engineering.

NEW QUESTION # 42
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. Leverage the scheduling priority of the detection to know what's most critical.
C. Multiply the risk score of a detection by how many times it has run.
D. Add risk scores for associated objects within a network.

Answer: A

Explanation:
In Splunk Enterprise Security, the default method for determining the urgency of a notable event considers both the priority of the asset or identity involved and the severity value assigned to the finding. This ensures that critical assets with high-severity events are prioritized appropriately for analyst attention.

NEW QUESTION # 43
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