FREE PDF QUIZ SPLUNK - VALID SPLK-5002 - EXAM SPLUNK CERTIFIED CYBERSECURITY DEFENSE ENGINEER PAPERS

Free PDF Quiz Splunk - Valid SPLK-5002 - Exam Splunk Certified Cybersecurity Defense Engineer Papers

Free PDF Quiz Splunk - Valid SPLK-5002 - Exam Splunk Certified Cybersecurity Defense Engineer Papers

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

NEW QUESTION # 45
What is a key advantage of using SOAR playbooks in Splunk?

  • A. Automating repetitive security tasks and processes
  • B. Improving dashboard visualization capabilities
  • C. Manually running searches across multiple indexes
  • D. Enhancing data retention policies

Answer: A

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 # 46
What is the primary purpose of correlation searches in Splunk?

  • A. To store pre-aggregated search results
  • B. To create dashboards for real-time monitoring
  • C. To extract and index raw data
  • D. To identify patterns and relationships between multiple data sources

Answer: D

Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlationsearches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
References:
Splunk ES Correlation Searches Overview
Best Practices for Correlation Searches
Splunk ES Use Cases and Notable Events


NEW QUESTION # 47
Which configurations are required for data normalization in Splunk?(Choosetwo)

  • A. authorize.conf
  • B. eventtypes.conf
  • C. transforms.conf
  • D. props.conf
  • E. savedsearches.conf

Answer: C,D

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 # 48
What are the main steps of the Splunk data pipeline?(Choosethree)

  • A. Parsing
  • B. Alerting
  • C. Visualization
  • D. Input phase
  • E. Indexing

Answer: A,D,E

Explanation:
The Splunk Data Pipeline consists of multiple stages that process incoming data from ingestion to visualization.
Main Steps of the Splunk Data Pipeline:
Input Phase (C)
Splunk collects raw data from logs, applications, network traffic, and endpoints.
Supports various data sources like syslog, APIs, cloud services, and agents (e.g., Universal Forwarders).
Parsing (D)
Splunk breaks incoming data into events and extracts metadata fields.
Removes duplicates, formats timestamps, and applies transformations.
Indexing (A)
Stores parsed events into indexes for efficient searching.
Supports data retention policies, compression, and search optimization.


NEW QUESTION # 49
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?

  • A. Optimize search head clustering.
  • B. Increase the indexer memory allocation.
  • C. Reconfigure the props.conf file.
  • D. Review forwarder logs for queue blockages.

Answer: D

Explanation:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.


NEW QUESTION # 50
......

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