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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
  • 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
  • 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which Splunk Enterprise Security add-on facilitates the ingestion of Threat Intelligence data?

Answer: C

Explanation:
The correct component is SA-ThreatIntelligence . Within Splunk Enterprise Security, this supporting add-on is associated with the threat-intelligence framework and the processing of threat indicators used for matching, enrichment, and security analytics.
Threat intelligence may contain observables such as malicious IP addresses, domains, URLs, email indicators, certificate information, file hashes, or other intelligence objects. The framework must normalize and process these indicators so that Enterprise Security searches can compare them with telemetry observed in the environment.
The SA- prefix is significant in the Splunk application ecosystem because supporting add-ons frequently provide underlying searches, knowledge objects, configurations, or framework functionality that other Splunk applications consume. The other names shown in the question are distractors and are not the designated Enterprise Security supporting add-on requested.
Threat intelligence ingestion is more than simply indexing a feed. The resulting indicators must be structured into appropriate collections and made usable by matching processes so that detections can identify interactions between internal activity and known threat objects.
Question 9 is displayed on page 3 of the supplied certification material.
Study Guide topics: SA-ThreatIntelligence, Threat Intelligence Framework, indicator ingestion, threat matching, intelligence normalization, Enterprise Security architecture.


NEW QUESTION # 44
How can an engineer verify if results will return for a potential detection based on historical events within the organization?

Answer: C

Explanation:
To verify if a potential detection will return results, the engineer should run the detection against production data in the same Splunk instance. This ensures the query is tested against actual historical events from the organization's environment, confirming whether it generates meaningful results.


NEW QUESTION # 45
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?

Answer: B

Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.


NEW QUESTION # 46
A security analyst needs to update the SOP for handling phishing incidents.
What should they prioritize?

Answer: A

Explanation:
Updating the SOP for Handling Phishing Incidents
AStandard Operating Procedure (SOP)should focus onprevention, detection, and response.
#1. Documenting Steps for User Awareness Training (C)
Training employeeshelps prevent phishing incidents.
Example:
Teach users toidentify phishing emails and report them via a Splunk SOAR playbook.
#Incorrect Answers:
A: Ensuring all reports are manually verified by analysts#Automation(via SOAR) should be used forinitial triage.
B: Automating the isolation of suspected phishing emails# Automation is useful, butuser education prevents incidents.
D: Reporting incidents to the executive board immediately#Only major security breachesshould beescalated to executives.
#Additional Resources:
NIST Incident Response Guide
Splunk Phishing Detection Playbooks


NEW QUESTION # 47
When should a detection be reviewed or retuned after deployment?

Answer: B

Explanation:
A detection should be reviewed or retuned as defined by the established detection lifecycle (DDLC). This ensures detections are consistently evaluated for accuracy, effectiveness, and alignment with evolving threats, rather than only reacting to false positives or inactivity.


NEW QUESTION # 48
......

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