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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q62-Q67):

NEW QUESTION # 62
In a contextualization playbook, a URL is transmitted to a sandbox for examination and disposition recommendation. What underlying HTTP method is used to transmit this data to the sandbox?

Answer: C

Explanation:
In a contextualization playbook, when transmitting a URL or file to a sandbox for analysis, the data is sent using the HTTP POST method. POST is used because it allows submitting data in the request body, unlike GET which only appends parameters to the URL.


NEW QUESTION # 63
What is a key advantage of using SOAR playbooks in Splunk?

Answer: D

Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) playbooks help SOC teams automate, orchestrate, and respond to threats faster.
#Key Benefits of SOAR Playbooks
Automates Repetitive Tasks
Reduces manual workload for SOC analysts.
Automates tasks like enriching alerts, blocking IPs, and generating reports.
Orchestrates Multiple Security Tools
Integrates with firewalls, EDR, SIEMs, threat intelligence feeds.
Example: A playbook can automatically enrich an IP address by querying VirusTotal, Splunk, and SIEM logs.
Accelerates Incident Response
Reduces Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
Example: A playbook can automatically quarantine compromised endpoints in CrowdStrike after an alert.
#Incorrect Answers:
A: Manually running searches across multiple indexes # SOAR playbooks are about automation, not manual searches.
C: Improving dashboard visualization capabilities # Dashboards are part of SIEM (Splunk ES), not SOAR playbooks.
D: Enhancing data retention policies # Retention is a Splunk Indexing feature, not SOAR-related.
#Additional Resources:
Splunk SOAR Playbook Guide
Automating Threat Response with SOAR


NEW QUESTION # 64
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?

Answer: A

Explanation:
Why Use Index-Time Transformations for One-Time Parsing & Indexing?
Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance.
Index-time transformations ensure that logs are:
#Parsed, transformed, and stored efficiently before indexing.#Normalized before indexing, so the SOC team doesn't need to clean up fields later.#Processed once, ensuring optimal storage utilization.
#Example of Index-Time Transformation in Splunk:#Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk.#Solution: Use anINDEXED_EXTRACTIONSrule to:
Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).
Rename fields for consistency before indexing.


NEW QUESTION # 65
An engineer wants to track and report on all authentication to corporate assets, and wants to prioritize critical assets without significantly increasing the number of findings (notable events) generated. What process could be used to accomplish this goal?

Answer: A

Explanation:
By adding all access attempts to the Risk Index and then increasing the Criticality of critical assets, the engineer ensures all authentication activity is tracked while prioritizing findings involving high-value assets. This approach leverages risk-based alerting without flooding the SOC with unnecessary notable events.


NEW QUESTION # 66
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: C

Explanation:
A Risk Incident Rule correlation search reviews the events stored in the risk index and aggregates them by risk object (such as a user or asset). When the combined risk score crosses a defined threshold, it generates a risk notable in Enterprise Security.


NEW QUESTION # 67
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