LATEST SPLK-5002 DUMPS PPT, SPLK-5002 EXAM TESTKING

Latest SPLK-5002 Dumps Ppt, SPLK-5002 Exam Testking

Latest SPLK-5002 Dumps Ppt, SPLK-5002 Exam Testking

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The Real4dumps SPLK-5002 exam practice test questions provide a way to assess your understanding of the material, identify areas for improvement, and build confidence and test-taking skills. The Real4dumps SPLK-5002 exam practice test questions are real and verified by Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam trainers. They work collectively and strive hard to ensure the top standard of Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam practice questions all the time.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which REST API method is used to retrieve data from a Splunk index?

  • A. DELETE
  • B. POST
  • C. GET
  • D. PUT

Answer: C

Explanation:
The GET method in the Splunk REST API is used to retrieve data from a Splunk index. It allows users and automated scripts to fetch logs, alerts, or query results programmatically.
Key Points About GET in Splunk API:
Used for searching and retrieving logs from indexes.
Can be used to get search results, job status, and Splunk configuration details.
Common API endpoints include:
/services/search/jobs/{search_id}/results- Retrieves results of a completed search.
/services/search/jobs/export- Exports search results in real-time.


NEW QUESTION # 16
What are the key components of Splunk's indexing process?(Choosethree)

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

Answer: A,C,D

Explanation:
Key Components of Splunk's Indexing Process
Splunk's indexing process consists of multiple stages that ingest, process, and store data efficiently for search and analysis.
#1. Input Phase (E)
Collects data from sources (e.g., syslogs, cloud services, network devices).
Defines where the data comes from and applies pre-processing rules.
Example:
A firewall log is ingested from a syslog server into Splunk.
#2. Parsing (A)
Breaks raw data into individual events.
Applies rules for timestamp extraction, line breaking, and event formatting.
Example:
A multiline log file is parsed so that each log entry is a separate event.
#3. Indexing (C)
Stores parsed data in indexes to enable fast searching.
Assigns metadata like host, source, and sourcetype.
Example:
An index=firewall_logs contains all firewall-related events.
#Incorrect Answers:
B: Searching # Searching happens after indexing, not during the indexing process.
D: Alerting # Alerting is part of SIEM and detection, not indexing.
#Additional Resources:
Splunk Indexing Process Documentation
Splunk Data Processing Pipeline


NEW QUESTION # 17
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?

  • A. Automate all tasks within the playbook immediately
  • B. Test the playbook using simulated incidents
  • C. Compare the playbook to existing incident response workflows
  • D. Monitor the playbook's actions in real-time environments

Answer: B

Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com


NEW QUESTION # 18
What are the essential components of risk-based detections in Splunk?

  • A. Summary indexing, tags, and event types
  • B. Source types, correlation searches, and asset groups
  • C. Alerts, notifications, and priority levels
  • D. Risk modifiers, risk objects, and risk scores

Answer: D

Explanation:
What Are Risk-Based Detections in Splunk?
Risk-based detections in Splunk Enterprise Security (ES) assign risk scores to security events based on threat severity and asset criticality.
#Key Components of Risk-Based Detections:1##Risk Modifiers - Adjusts risk scores based on event type (e.
g., failed logins, malware detections).2##Risk Objects - Entities associated with security events (e.g., users, IPs, devices).3##Risk Scores - Numerical values indicating the severity of a risk.
#Example in Splunk Enterprise Security:#Scenario: A high-privilege account (Admin) fails multiple logins from an unusual location.#Splunk ES applies risk-based detection:
Failed logins add +10 risk points
Login from a suspicious country adds +15 points
Total risk score exceeds 25 # Triggers an alert
Why Not the Other Options?
#B. Summary indexing, tags, and event types - Summary indexing stores precomputed data, but doesn't drive risk-based detection.#C. Alerts, notifications, and priority levels - Important, but risk-based detection is based on scoring, not just alerts.#D. Source types, correlation searches, and asset groups - Helps in data organization, but not specific to risk-based detections.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Risk-Based Detections
& Scoring in Splunk: https://www.splunk.com/en_us/blog/security/risk-based-alerting.html#Best Practices for Risk Scoring in SOC Operations: https://splunkbase.splunk.com


NEW QUESTION # 19
What is the main purpose of Splunk's Common Information Model (CIM)?

  • A. To compress data during indexing
  • B. To normalize data for correlation and searches
  • C. To extract fields from raw events
  • D. To create accelerated reports

Answer: B


NEW QUESTION # 20
......

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