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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which Splunk feature enables integration with third-party tools for automated response actions?

A. Workflow actions
B. Data model acceleration
C. Summary indexing
D. Event sampling

Answer: A

Explanation:
Security teams use Splunk Enterprise Security (ES) and Splunk SOAR to integrate with firewalls, endpoint security, and SIEM tools for automated threat response.
#Workflow Actions (B) - Key Integration Feature
Allows analysts to trigger automated actions directly from Splunk searches and dashboards.
Can integrate with SOAR playbooks, ticketing systems (e.g., ServiceNow), or firewalls to take action.
Example:
Block an IP on a firewall from a Splunk dashboard.
Trigger a SOAR playbook for automated threat containment.
#Incorrect Answers:
A: Data Model Acceleration # Speeds up searches, but doesn't handle integrations.
C: Summary Indexing # Stores summarized data for reporting, not automation.
D: Event Sampling # Reduces search load, but doesn't trigger automated actions.
#Additional Resources:
Splunk Workflow Actions Documentation
Automating Response with Splunk SOAR

NEW QUESTION # 81
Which features of Splunk are crucial for tuning correlation searches?(Choosethree)

A. Reviewing notable event outcomes
B. Using thresholds and conditions
C. Disabling field extractions
D. Optimizing search queries
E. Enabling event sampling

Answer: A,B,D

Explanation:
Correlation searches are a key component of Splunk Enterprise Security (ES) that help detect and alert on security threats by analyzing machine data across various sources. Proper tuning of these searches is essential to reduce false positives, improve performance, and enhance the accuracy of security detections in a Security Operations Center (SOC).
Crucial Features for Tuning Correlation Searches
#1. Using Thresholds and Conditions (A)
Thresholds help control the sensitivity of correlation searches by defining when a condition is met.
Setting appropriate conditions ensures that only relevant events trigger notable events or alerts, reducing noise.
Example:
Instead of alerting on any failed login attempt, a threshold of 5 failed logins within 10 minutes can be set to identify actual brute-force attempts.
#2. Reviewing Notable Event Outcomes (B)
Notable events are generated by correlation searches, and reviewing them is critical for fine-tuning.
Analysts in the SOC should frequently review false positives, duplicates, and low-priority alerts to refine rules.
Example:
If a correlation search is generating excessive alerts for normal user activity, analysts can modify it to exclude known safe behaviors.
#3. Optimizing Search Queries (E)
Efficient Splunk Search Processing Language (SPL) queries are crucial to improving search performance.
Best practices include:
Using index-time fields instead of extracting fields at search time.
Avoiding wildcards and unnecessary joins in searches.
Using tstats instead of regular searches to improve efficiency.
Example:
Using:
| tstats count where index=firewall by src_ip
instead of:
index=firewall | stats count by src_ip
can significantly improve performance.
Incorrect Answers & Explanation
#C. Enabling Event Sampling
Event sampling helps analyze a subset of events to improve testing but does not directly impact correlation search tuning in production.
In a SOC environment, tuning needs to be based on actual real-time event volumes, not just sampled data.
#D. Disabling Field Extractions
Field extractions are essential for correlation searches because they help identify and analyze security-related fields (e.g.,user,src_ip,dest_ip).
Disabling them would limit the visibility of important security event attributes, making detections less effective.
Additional Resources for Learning
#Splunk Documentation & Learning Paths:
Splunk ES Correlation Search Documentation
Best Practices for Writing SPL
Splunk Security Essentials - Use Cases
SOC Analysts Guide for Correlation Search Tuning
#Courses & Certifications:
Splunk Enterprise Security Certified Admin
Splunk Core Certified Power User
Splunk SOAR Certified Automation Specialist

NEW QUESTION # 82
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

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

Answer: B,C,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 # 83
What Splunk feature is most effective for managing the lifecycle of a detection?

A. Data model acceleration
B. Content management in Enterprise Security
C. Summary indexing
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 # 84
A compliance audit reveals gaps in the tracking of privileged account activities.
Howcan the team address this issue?

A. Exclude privileged accounts from reporting
B. Use summary indexes to delete old data
C. Focus only on low-priority account activity
D. Automate report generation for privileged accounts

Answer: D

Explanation:
Privileged accounts pose ahigh security risk, and tracking their activity iscritical for compliance(e.g.,PCI DSS, NIST, ISO 27001, SOC 2).
#1. Automate Report Generation for Privileged Accounts (A)
Ensurescontinuous monitoringofadmin/root accounts.
Helpsdetect misuse or unauthorized access.
Example:
Splunk Enterprise Security (ES)can generate scheduled reports on:
Failed login attempts by privileged users.
Actions performed using admin credentials.
#Incorrect Answers:
B: Use summary indexes to delete old data# Summary indexes improve performance butdo not help track privileged accounts.
C: Focus only on low-priority account activity# Privileged accountsshould always be high-priority.
D: Exclude privileged accounts from reporting# This wouldviolate compliance requirements.
#Additional Resources:
Splunk Security Monitoring for Privileged Accounts
NIST Access Control Guide

NEW QUESTION # 85
......

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Tony Stone Tony Stone

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