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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
  • 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 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
  • 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 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q69-Q74):

NEW QUESTION # 69
What elements are critical for developing meaningful security metrics? (Choose three)

Answer: A,D,E

Explanation:
Key Elements of Meaningful Security Metrics
Security metrics shouldalign with business goals, be validated regularly, and have standardized definitionsto ensure reliability.
#1. Relevance to Business Objectives (A)
Security metrics should tie directly tobusiness risks and priorities.
Example:
A financial institution might trackfraud detection ratesinstead of genericmalware alerts.
#2. Regular Data Validation (B)
Ensures data accuracy byremoving false positives, duplicates, and errors.
Example:
Validatingphishing alert effectivenessby cross-checking withuser-reported emails.
#3. Consistent Definitions for Key Terms (E)
Standardized definitions preventmisinterpretation of security metrics.
Example:
Clearly definingMTTD (Mean Time to Detect) vs. MTTR (Mean Time to Respond).
#Incorrect Answers:
C: Visual representation through dashboards# Dashboards help, butdata quality matters more.
D: Avoiding integration with third-party tools# Integrations withSIEM, SOAR, EDR, and firewallsarecrucial for effective metrics.
#Additional Resources:
NIST Security Metrics Framework
Splunk


NEW QUESTION # 70
Which phase of the incident response lifecycle would cause the least amount of friction when replacing manual steps with automation?

Answer: A

Explanation:
Triage involves repetitive, data-gathering, and enrichment steps (e.g., indicator lookups, context collection) that can be automated with minimal risk. This phase typically introduces the least friction when shifting from manual work to automation.


NEW QUESTION # 71
An automation engineer for the Wonderland SOC, has configured a new asset and is getting an HTTP 403 response code. Which of the following is the possible cause of this error code?

Answer: C

Explanation:
An HTTP 403 (Forbidden) response indicates that authentication may be successful, but the credentials do not have sufficient permissions to access the requested resource. In Splunk SOAR asset configuration, this typically means the account used is valid but lacks the required authorization.


NEW QUESTION # 72
One of the goals of a detection engineer is to facilitate the triage process by providing the analyst as much context as possible. One way of accomplishing this is to provide context options through the use of which of the following settings?

Answer: C

Explanation:
A drill-down search provides analysts with additional context during triage by allowing them to pivot directly from a detection or notable to a more detailed search. This helps streamline investigations and reduces the time needed to gather supporting information.


NEW QUESTION # 73
Consider the following series of events:
4:00 GMT Detection runs for interval 3:30-4:00
4:30 GMT Detection runs for interval 4:00-4:30
4:35 GMT Event 1 occurs on an endpoint
4:45 GMT Event 1 is indexed
5:00 GMT Detection runs for interval 4:30-5:00
5:05 GMT Event 1 finding is added to ES with timestamp 4:35
5:24 GMT Event 2 occurs on an endpoint
5:30 GMT Detection runs for interval 5:00-5:30
5:35 GMT Event 2 is indexed
6:00 GMT Detection runs for interval 5:30-6:00
What is the problem with the detection schedule chosen and how can it be solved?

Answer: D

Explanation:
In this scenario, events are indexed after the scheduled detection window has already executed, meaning detections miss relevant events. This happens due to log ingestion delay. The solution is to increase the detection time window (or use a delay offset) so that detections account for delayed logs, ensuring events like Event 1 and Event 2 are included in the proper detection run.


NEW QUESTION # 74
......

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