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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which REST call will show a list of alerts with their specific commands, app, and title?

Answer: D

Explanation:
The correct REST endpoint to list alerts along with their commands, app, and title is:
| rest /servicesNS/user/-/alerts/alert_actions
| table title, eai:acl.app, label, payload_format, command
This query accesses alert actions in the context of the current user and retrieves the specified fields for reporting or inspection.


NEW QUESTION # 82
How can you incorporate additional context into notable events generated by correlation searches?

Answer: B

Explanation:
Additional context should be incorporated by adding enriched fields during search execution . A correlation search should return not merely evidence that a detection condition occurred, but sufficient contextual fields for an analyst to understand and triage the resulting finding efficiently.
For example, a detection can enrich results with normalized entity fields such as user, src, dest, asset priority, identity information, process details, authentication attributes, threat-intelligence context, or other fields relevant to the analytic. Those values can then be carried into the notable/finding and used for investigation, drilldowns, risk analysis, and downstream automation.
The dedup command addresses duplicate search results; it does not inherently enrich the notable. Adding indexers improves ingestion and search scalability rather than investigative context. Search-head memory optimization is an infrastructure-performance activity and likewise does not add meaningful fields to a finding.
This principle aligns directly with the supplied course material ' s guidance that, once a detection is known to fire, engineers should ensure that the fields analysts need are present in the detection output .
Study Guide topics: correlation searches, analyst context, field enrichment, actionable findings, CIM fields, Assets & Identities, drilldowns.


NEW QUESTION # 83
Which field in the risk index is used to describe the activity within a finding?

Answer: D

Explanation:
The risk_reason field in the risk index is used to describe the specific activity or behavior that contributed to the risk in a finding. This provides context for analysts to understand why the risk event was generated.


NEW QUESTION # 84
Which configurations are required for data normalization in Splunk?(Choosetwo)

Answer: B,E

Explanation:
Configurations Required for Data Normalization in Splunk
Data normalization ensures consistent field naming and event structuring, especially for Splunk Common Information Model (CIM) compliance.
#1. props.conf (A)
Defines how data is parsed and indexed.
Controls field extractions, event breaking, and timestamp recognition.
Example:
Assigns custom sourcetypes and defines regex-based field extraction.
#2. transforms.conf (B)
Used for data transformation, lookup table mapping, and field aliasing.
Example:
Normalizes firewall logs by renaming src_ip # src to align with CIM.
#Incorrect Answers:
C: savedsearches.conf # Defines scheduled searches, not data normalization.
D: authorize.conf # Manages user permissions, not data normalization.
E: eventtypes.conf # Groups events into categories but doesn't modify data structure.
#Additional Resources:
Splunk Data Normalization Guide
Understanding props.conf and transforms.conf


NEW QUESTION # 85
A cyber defense engineer plays a role in maintaining a secure SOAR Cloud configuration. Which network security statement is correct about SOAR Cloud?

Answer: C

Explanation:
In Splunk SOAR Cloud, the Automation Broker is responsible for maintaining connectivity. It initiates an outbound SSL connection to Splunk Cloud (so no inbound firewall rules are needed) and also makes outbound connections to the managed endpoints to execute playbook actions securely.


NEW QUESTION # 86
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