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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q29-Q34):

NEW QUESTION # 29
What methods can improve Splunk's indexing performance?(Choosetwo)

A. Use universal forwarders for data ingestion.
B. Enable indexer clustering.
C. Create multiple search heads.
D. Optimize event breaking rules.

Answer: B,D

Explanation:
Improving Splunk's indexing performance is crucial for handling large volumes of data efficiently while maintaining fast search speeds and optimized storage utilization.
Methods to Improve Indexing Performance:
Enable Indexer Clustering (A)
Distributes indexing load across multiple indexers.
Ensures high availability and fault tolerance by replicating indexed data.
Optimize Event Breaking Rules (D)
Defines clear event boundaries to reduce processing overhead.
Uses correctLINE_BREAKERandTRUNCATEsettings to improve parsing speed.

NEW QUESTION # 30
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. Monitor the playbook's actions in real-time environments
C. Test the playbook using simulated incidents
D. Compare the playbook to existing incident response workflows

Answer: C

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 # 31
Which actions help to monitor and troubleshoot indexing issues?(Choosethree)

A. Review internal logs such as splunkd.log.
B. Use btool to check configurations.
C. Monitor queues in the Monitoring Console.
D. Enable distributed search in Splunk Web.

Answer: A,B,C

Explanation:
Indexing issues can cause search performance problems, data loss, and delays in security event processing.
#1. Use btool to Check Configurations (A)
Helps validate Splunk configurations related to indexing.
Example:
Checkindexes.confsettings:
splunk btool indexes list --debug
#2. Monitor Queues in the Monitoring Console (B)
Identifies indexing bottlenecks such as blocked queues, dropped events, or indexing lag.
Example:
Navigate to: Settings # Monitoring Console # Indexing Performance.
#3. Review Internal Logs Such as splunkd.log (C)
Thesplunkd.logfile contains indexing errors, disk failures, and queue overflows.
Example:
Use Splunk to search internal logs:
D: Enable distributed search in Splunk Web # Distributed search improves scalability, but does not troubleshoot indexing problems.
#Additional Resources:
Splunk Indexing Performance Guide
Using btool for Debugging

NEW QUESTION # 32
What methods improve risk and detection prioritization?(Choosethree)

A. Enforcing strict search head resource limits
B. Using predefined alert templates
C. Assigning risk scores to assets and events
D. Incorporating business context into decisions
E. Automating detection tuning

Answer: C,D,E

Explanation:
Risk and detection prioritization in Splunk Enterprise Security (ES) helps SOC analysts focus on the most critical threats. By assigning risk scores, integrating business context, and automating detection tuning, organizations can prioritize security incidents efficiently.
Methods to Improve Risk and Detection Prioritization:
Assigning Risk Scores to Assets and Events (A)
Uses Risk-Based Alerting (RBA) to prioritize high-risk activities based on behavior and history.
Helps SOC teams focus on true threats instead of isolated events.
Incorporating Business Context into Decisions (C)
Adds context from asset criticality, user roles, and business impact.
Ensures alerts are ranked based on their potential business impact.
Automating Detection Tuning (D)
Uses machine learning and adaptive response actions to reduce false positives.
Dynamically adjusts alert thresholds based on evolving threat patterns.

NEW QUESTION # 33
What methods improve the efficiency of Splunk's automation capabilities? (Choose three)

A. Using modular inputs
B. Optimizing correlation search queries
C. Employing prebuilt SOAR playbooks
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 # 34
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