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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
  • 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
  • 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
  • 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q45-Q50):

NEW QUESTION # 45
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: D

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 # 46
What external support consideration should an engineer account for if they plan to automate the disabling of a system or user?

Answer: D

Explanation:
If an engineer plans to automate disabling a system or user, they must communicate the actions to the IT Help Desk. This ensures that support teams are aware of automated responses, preventing confusion, unnecessary troubleshooting, or accidental business disruption.


NEW QUESTION # 47
The SOC manager has a desire to measure mean time to acknowledge findings (notable events) in order to meet a desired service level objective. Which two fields can be used to measure this metric?

Answer: C

Explanation:
Mean Time to Acknowledge (MTTA) can be measured using the Status and Owner fields. Status indicates when a notable event moves from a new or unacknowledged state, and Owner identifies which analyst acknowledged the event, allowing calculation of the time taken to respond.


NEW QUESTION # 48
In a Risk-Based Alerting implementation with Splunk Enterprise Security, which of the following best describes a risk factor?

Answer: C

Explanation:
In Risk-Based Alerting (RBA), a risk factor is a multiplier of risk applied based on the characteristics of a user or asset, such as criticality or sensitivity. This allows higher-risk entities to accumulate risk more quickly and ensures prioritization aligns with business impact.


NEW QUESTION # 49
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 # 50
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