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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer (CDE)
Exam Number:SPLK-5002
Passing Score:Not publicly disclosed (Pass/Fail)
Real Exam Qty:60
Exam Price:$130 USD
Related Certifications:Splunk Certified Cybersecurity Defense Analyst
Exam Duration:75 minutes
Available Languages:English
Certificate Validity Period:Not publicly specified
Exam Format:Scenario-based multiple choice, Multiple choice
Recommended Training:Splunk Enterprise Security Fundamentals
Splunk SOAR Automation Training
Exam Registration:Pearson VUE Splunk Exams
Official Splunk Certification Registration
Sample Questions:Splunk SPLK-5002 Sample Questions
Exam Way:Online proctored or test center (Pearson VUE)
Pre Condition:No formal prerequisites required, but Splunk Certified Cybersecurity Defense Analyst knowledge is strongly recommended.
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html

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The Splunk SPLK-5002 exam questions pdf is properly formatted to give candidates the asthenic and unformatted information they need to succeed in the SPLK-5002 exam. In addition to the comprehensive material, a few basic and important questions are highlighted and discussed in the SPLK-5002 Exam Material file. These questions are repeatedly seen in past Splunk Certified Cybersecurity Defense Engineer exam papers. The Splunk Certified Cybersecurity Defense Engineer practice questions are easy to access and can be downloaded anytime on your mobile, laptop, or MacBook.

Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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 (Q24-Q29):

NEW QUESTION # 24
What are essential steps in developing threat intelligence for a security program?(Choosethree)

Answer: A,C,E

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 # 25
Which type of correlation search reviews the events in the risk index and uses an aggregation of events impacting a single risk object to generate risk notables?

Answer: B


NEW QUESTION # 26
An engineer is writing a correlation search and needs to use T1059 from MITRE ATT & CK as a field in Incident Review. Assuming they are writing a correlation search that does not use the Risk data model, which example statement should be appended to the correlation search?

Answer: A

Explanation:
For a conventional correlation search that creates findings outside the Risk data model, the MITRE ATT & CK technique must be represented through the detection ' s annotation metadata so that downstream Enterprise Security interfaces such as Incident Review can retain and display the technique context.
T1059 corresponds to the MITRE ATT & CK technique family Command and Scripting Interpreter .
Assigning the technique to the appropriate MITRE ATT & CK annotation establishes structured metadata rather than simply placing the string T1059 into an arbitrary result field.
This distinction is important because detection annotations support consistent categorization, ATT & CK coverage reporting, analyst interpretation, and security-content management. An arbitrary field containing T1059 does not automatically carry the same semantic meaning. Likewise, a risk-model-specific representation is inappropriate when the question explicitly states that the correlation search does not use the Risk data model.
The supplied material presents this as an SPL/annotation implementation question on page 1.
Study Guide topics: Correlation searches, MITRE ATT & CK annotations, Incident Review, security- content metadata, event-based detections versus risk-based detections.


NEW QUESTION # 27
What must be configured as a setting in a correlation search for a notable to be generated?

Answer: B

Explanation:
A correlation search must have the appropriate Adaptive Response Action configured when its intended outcome is creation of a notable event. Consequently, option C is correct.
The correlation search itself defines the analytics used to identify suspicious activity. Running that search successfully does not, by itself, mean every result automatically becomes a notable. The response configuration determines what Enterprise Security should do after the detection conditions are satisfied.
Configuring the notable-related adaptive response action supplies that operational behavior.
This separation is important because the same detection framework can support different outcomes.
Depending on design requirements, a correlation search may create analyst-facing findings, generate risk, invoke another response mechanism, or participate in additional automated workflows. The detection logic and response behavior therefore represent distinct parts of the engineering process.
A SOAR playbook is not a prerequisite for generating a notable; SOAR normally operates as a subsequent orchestration or response capability. Likewise, appending a | notable command to the SPL is not the configuration requirement being tested by this question.
Study Guide topics: Enterprise Security correlation searches, notable generation, Adaptive Response Actions, detection outcomes, response configuration.


NEW QUESTION # 28
What is the primary purpose of correlation searches in Splunk?

Answer: A

Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlationsearches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
References:
Splunk ES Correlation Searches Overview
Best Practices for Correlation Searches
Splunk ES Use Cases and Notable Events


NEW QUESTION # 29
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