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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q79-Q84):

NEW QUESTION # 79
What Splunk feature is most effective for managing the lifecycle of a detection?

A. Summary indexing
B. Content management in Enterprise Security
C. Data model acceleration
D. Metrics indexing

Answer: B

Explanation:
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Archive outdated detections and enable new MITRE ATT&CK techniques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 formanaging detections.#D. Summary indexing - Stores precomputed search results but does not control detection content.
References & 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

NEW QUESTION # 80
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

A. Evaluating automated action performance
B. Verifying authentication methods
C. Increasing indexer capacity
D. Monitoring data ingestion rates
E. Testing API connectivity

Answer: A,B,E

Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations

NEW QUESTION # 81
What is the primary function of a Lean Six Sigma methodology in a security program?

A. Enhancing user activity logs
B. Optimizing processes for efficiency and effectiveness
C. Monitoring the performance of detection searches
D. Automating detection workflows

Answer: B

Explanation:
Lean Six Sigma (LSS) is a process improvement methodology used to enhance operational efficiency by reducing waste, eliminating errors, and improving consistency.
Primary Function of Lean Six Sigma in a Security Program:
Improves security operations efficiency by optimizing alert handling, threat hunting, and incident response workflows.
Reduces unnecessary steps in SOC processes, eliminating redundancies in threat detection and response.
Enhances decision-making by using data-driven analysis to improve security metrics and Key Performance Indicators (KPIs).

NEW QUESTION # 82
What methods improve the efficiency of Splunk's automation capabilities? (Choose three)

A. Employing prebuilt SOAR playbooks
B. Optimizing correlation search queries
C. Using modular inputs
D. Leveraging saved search acceleration
E. Implementing low-latency indexing

Answer: A,B,C

Explanation:
How to Improve Splunk's Automation Efficiency?
Splunk's automation capabilities rely on efficient data ingestion, optimized searches, and automated response workflows. The following methods help improve Splunk's automation:
#1. Using Modular Inputs (Answer A)
Modular inputs allow Splunk to ingest third-party data efficiently (e.g., APIs, cloud services, or security tools).
Benefit: Improves automation by enabling real-time data collection for security workflows.
Example: Using a modular input to ingest threat intelligence feeds and trigger automatic responses.
#2. Optimizing Correlation Search Queries (Answer B)
Well-optimized correlation searches reduce query time and false positives.
Benefit: Faster detections # Triggers automated actions in SOAR with minimal delay.
Example: Usingtstatsinstead of raw searches for efficient event detection.
#3. Employing Prebuilt SOAR Playbooks (Answer E)
SOAR playbooks automate security responses based on predefined workflows.
Benefit: Reduces manual effort in phishing response, malware containment, etc.
Example: Automating phishing email analysis using a SOAR playbook that extracts attachments, checks URLs, and blocks malicious senders.
Why Not the Other Options?
#C. Leveraging saved search acceleration - Helps with dashboard performance, but doesn't directly improve automation.#D. Implementing low-latency indexing - Reduces indexing lag but is not a core automation feature.
References & Learning Resources
#Splunk SOAR Automation Guide: https://docs.splunk.com/Documentation/SOAR#Optimizing Correlation Searches in Splunk ES: https://docs.splunk.com/Documentation/ES#Prebuilt SOAR Playbooks for Security Automation: https://splunkbase.splunk.com

NEW QUESTION # 83
A Splunk administrator needs to integrate a third-party vulnerability management tool to automate remediation workflows.
Whatis the most efficient first step?

A. Set up a manual alerting system for vulnerabilities
B. Configure custom dashboards to monitor vulnerabilities
C. Write a correlation search for each vulnerability type
D. Use REST APIs to integrate the third-party tool with Splunk SOAR

Answer: D

Explanation:
Why Use REST APIs for Integration?
When integrating a third-party vulnerability management tool (e.g., Tenable, Qualys, Rapid7) with Splunk SOAR, using REST APIs is the most efficient and scalable approach.
#Why REST APIs?
APIs enable direct communication between Splunk SOAR and the third-party tool.
Allows automated ingestion of vulnerability data into Splunk.
Supports automated remediation workflows (e.g., patch deployment, firewall rule updates).
Reduces manual work by allowing Splunk SOAR to pull real-time data from the vulnerability tool.
Steps to Integrate a Third-Party Vulnerability Tool with Splunk SOAR Using REST API:
1##Obtain API Credentials - Get API keys or authentication tokens from the vulnerability management tool.
2##Configure REST API Integration - Use Splunk SOAR's built-in API connectors or create a custom REST API call.3##Ingest Vulnerability Data into Splunk - Map API responses to Splunk ES correlation searches.
4##Automate Remediation Playbooks - Build Splunk SOAR playbooks to:
Automatically open tickets for critical vulnerabilities.
Trigger patches or firewall rules for high-risk vulnerabilities.
Notify SOC analysts when a high-risk vulnerability is detected on a critical asset.
Example Use Case in Splunk SOAR:
#Scenario: The company uses Tenable.io for vulnerability management.#Splunk SOAR connects to Tenable's API and pulls vulnerability scan results.#If a critical vulnerability is found on a production server, Splunk SOAR:
Automatically creates a ServiceNow ticket for remediation.
Triggers a patching script to fix the vulnerability.
Updates Splunk ES dashboards for tracking.
Why Not the Other Options?
#A. Set up a manual alerting system for vulnerabilities - Manual alerting is inefficient and doesn't scale well.
#C. Write a correlation search for each vulnerability type - This would create too many rules; API integration allows real-time updates from the vulnerability tool.#D. Configure custom dashboards to monitor vulnerabilities - Dashboards provide visibility but don't automate remediation.
References & Learning Resources
#Splunk SOAR API Integration Guide: https://docs.splunk.com/Documentation/SOAR#Integrating Tenable, Qualys, Rapid7 with Splunk: https://splunkbase.splunk.com#REST API Automation in Splunk SOAR:
https://www.splunk.com/en_us/products/soar.html

NEW QUESTION # 84
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