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Splunk SPLK-5002 Exam Questions - Navigate Your Path to Success

The Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam is a good choice for Splunk Defense Engineers and Splunk Power Users and if the candidate manages to pass Splunk Certified Cybersecurity Defense Engineer exam, he/she will earn Splunk Certified Cybersecurity Defense Engineer Certification. Below are some essential facts for Splunk SPLK-5002 exam candidates:

  • In actual Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam, a candidate can expect 60 Questions and the officially allowed time is expected to be around 75 Minutes.
  • TrendyCerts offers 83 Questions that are based on actual Splunk SPLK-5002 syllabus.
  • Our Splunk SPLK-5002 Exam Practice Questions were last updated on: Mar 11, 2025

Sample Questions for Splunk SPLK-5002 Exam Preparation

Question 1

What Splunk feature is most effective for managing the lifecycle of a detection?

Correct : B

Why Use 'Content Management in Enterprise Security' for Detection Lifecycle Management?

The detection lifecycle refers to the process of creating, managing, tuning, and deprecating security detections over time. In Splunk Enterprise Security (ES), Content Management helps security teams:

Create, update, and retire correlation searches and security content Manage use case coverage for different threat categories Tune detection rules to reduce false positives Track changes in detection rules for better governance

Example in Splunk ES: Scenario: A company updates its threat detection strategy based on new attack techniques. SOC analysts use Content Management in ES to:

Review existing correlation searches

Modify detection logic to adapt to new attack patterns

Archive outdated detections and enable new MITRE ATT&CK techniques

Why Not the Other Options?

A. Data model acceleration -- Improves search performance but does not manage detection lifecycles. C. Metrics indexing -- Used for time-series data (e.g., system performance monitoring), not for managing detections. D. Summary indexing -- Stores precomputed search results but does not control detection content.

Reference & Learning Resources

Splunk ES Content Management Documentation: https://docs.splunk.com/Documentation/ES Best Practices for Security Content Management in Splunk ES: https://www.splunk.com/en_us/blog/security MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources


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Question 2

Which Splunk feature helps to standardize data for better search accuracy and detection logic?

Correct : B

Why Use 'Data Models' for Standardized Search Accuracy and Detection Logic?

Splunk Data Models provide a structured, normalized representation of raw logs, improving:

Search consistency across different log sources Detection logic by ensuring standardized field names Faster and more efficient queries with data model acceleration

Example in Splunk Enterprise Security: Scenario: A SOC team monitors login failures across multiple authentication systems. Without Data Models: Different logs use src_ip, source_ip, or ip_address, making searches complex. With Data Models: All fields map to a standard format, enabling consistent detection logic.

Why Not the Other Options?

A. Field Extraction -- Extracts fields from raw events but does not standardize field names across sources. C. Event Correlation -- Detects relationships between logs but doesn't normalize data for search accuracy. D. Normalization Rules -- A general term; Splunk uses CIM & Data Models for normalization.

Reference & Learning Resources

Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge/Aboutdatamodels Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app/263 How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-


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