Splunk SPLK-5002 Practice Exams
Last updated on Oct 06,2026- Exam Code: SPLK-5002
- Exam Name: Splunk Certified Cybersecurity Defense Engineer
- Certification Provider: Splunk
- Latest update: Oct 06,2026
Question #31
What feature allows you to extract additional fields from events at search time?
- A . Index-time field extraction
- B . Event parsing
- C . Search-time field extraction
- D . Data modeling
Question #32
What is the role of event timestamping during Splunk’s data indexing?
- A . Assigning data to a specific source type
- B . Tagging events for correlation searches
- C . Synchronizing event data with system time
- D . Ensuring events are organized chronologically
Question #33
A compliance audit reveals gaps in the tracking of privileged account activities.
How can the team address this issue?
- A . Automate report generation for privileged accounts
- B . Use summary indexes to delete old data
- C . Focus only on low-priority account activity
- D . Exclude privileged accounts from reporting
Question #34
What is the primary purpose of Splunk SOAR (Security Orchestration, Automation, and Response)?
- A . To accelerate data ingestion
- B . To automate and orchestrate security workflows
- C . To improve indexing performance
- D . To provide threat intelligence feeds
Question #35
What is the purpose of using data models in building dashboards?
- A . To store raw data for compliance purposes
- B . To provide a consistent structure for dashboard queries
- C . To compress indexed data
- D . To reduce storage usage on Splunk instances
Question #36
What is the primary purpose of developing security metrics in a Splunk environment?
- A . To enhance data retention policies
- B . To measure and evaluate the effectiveness of security programs
- C . To identify low-priority alerts for suppression
- D . To automate case management workflows
Question #37
What are key benefits of using summary indexing in Splunk? (Choose two)
- A . Reduces storage space required for raw data
- B . Improves search performance on aggregated data
- C . Provides automatic field extraction during indexing
- D . Increases data retention period