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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
Passing Score:	700 / 1000
Real Exam Qty:	60
Available Languages:	English
Exam Price:	$130 USD
Exam Format:	Multiple response, Multiple choice
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	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	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	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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which methodology prioritizes risks by evaluating both their likelihood and impact?

A. Incident lifecycle management
B. Statistical anomaly detection
C. Threat modeling
D. Risk-based prioritization

Answer: D

Explanation:
Understanding Risk-Based Prioritization
Risk-based prioritization is a methodology that evaluatesboth the likelihood and impact of risksto determine which threats require immediate action.
#Why Risk-Based Prioritization?
Focuses onhigh-impact and high-likelihoodrisks first.
HelpsSOC teams manage alerts effectivelyand avoid alert fatigue.
Used inSIEM solutions (Splunk ES) and Risk-Based Alerting (RBA).
Example in Splunk Enterprise Security (ES):
Afailed login attemptfrom aninternal employeemight below risk(low impact, low likelihood).
Multiple failed loginsfrom aforeign countrywith a knownbad reputationcould behigh risk(high impact, high likelihood).
#Incorrect Answers:
A: Threat modeling# Identifies potential threats but doesn'tprioritize risks dynamically.
C: Incident lifecycle management# Focuses on handling security incidents, notrisk evaluation.
D: Statistical anomaly detection# Detects unusual activity but doesn'tprioritize based on impact.
#Additional Resources:
Splunk Risk-Based Alerting (RBA) Guide
NIST Risk Assessment Framework

NEW QUESTION # 18
Which of the following is the most efficient search to return a list of all visible indexes and the sourcetypes contained within them?

A. index=* | stats count by sourcetype, index
B. index=* sourcetype=* | stats values(sourcetype) by index
C. | tstats values(sourcetype) where index=* by index
D. | tstats values(sourcetype) where index=true

Answer: C

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 # 19
A threat actor group has begun a campaign that is relevant to an organization. How can the organization's engineer raise the risk score for corresponding intelligence matches in the applicable threat collection?

A. Set the weight of the threat collection to a higher integer.
B. Set the weight of the threat collection to a lower integer.
C. Set the weight of the threat collection to 500.
D. Set the weight of the threat collection to 0.

Answer: A

Explanation:
In Splunk Enterprise Security, increasing the threat collection weight raises the resulting risk score for any indicators matched from that collection. This allows the organization to prioritize intelligence associated with active or relevant threat actor campaigns.

NEW QUESTION # 20
When creating detections, which of the following sequences would result in the most performant SPL query?

A. Define base query, combine/summarize data, minimize data, execute calculations, format the data
B. Define base query, minimize data, format the data, combine/summarize data, execute calculations
C. Define base query, minimize data, combine/summarize data, format the data, execute calculations
D. Define base query, minimize data, combine/summarize data, execute calculations, format the data

Answer: D

Explanation:
The most performant SPL query sequence is:
Define base query → Minimize data → Combine/Summarize data → Execute calculations → Format the data.
Minimizing the data early (using filters, time constraints, and field limitations) reduces the dataset before expensive operations like summarization or calculations, resulting in optimal performance.

NEW QUESTION # 21
An engineer has been asked to build a new dashboard after an increase in login failures across the organization's Microsoft Azure domain. They need to construct a search to only display failed logins for their Azure Active Directory users, and choose a visualization that will help analysts quickly identify failed logins that originate outside of North America. Which of the following search and visualization type combinations will achieve this?

A. Search: index="main" sourcetype="ms:aad: signin" loginStatus=Failure | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Cluster Map
B. Search: index="main" sourcetype="WinEventLog" | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by loginStatus Visualization: Choropleth Map
C. Search: index="main" sourcetype="ms:aad:signin" | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Choropleth Map
D. Search: index="main" sourcetype="WinEventLog" loginStatus=Failure | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Cluster Map

Answer: A

Explanation:
The correct sourcetype for Azure Active Directory sign-ins is ms:aad:signin, and filtering on loginStatus=Failure ensures only failed logins are shown. Using geostats with latitude and longitude fields allows plotting login attempts geographically, and a Cluster Map visualization is best for quickly identifying failed logins originating outside of North America.

NEW QUESTION # 22
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