Splunk Certified Cybersecurity Defense Engineer new practice materials & SPLK-5002 latest practice torrent & Splunk Certified Cybersecurity Defense Engineer pdf vce dumps

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q33-Q38):

NEW QUESTION # 33
What methods improve risk and detection prioritization?(Choosethree)

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

Answer: A,C,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 # 34
What methods can improve dashboard usability for security program analytics?(Choosethree)

A. Limiting the number of panels on the dashboard
B. Avoiding performance optimization
C. Adding context-sensitive filters
D. Using drill-down options for detailed views
E. Standardizing color coding for alerts

Answer: C,D,E

Explanation:
Methods to Improve Dashboard Usability in Security Analytics
A well-designed Splunk security dashboard helps SOC teams quickly identify, analyze, and respond to security threats.
#1. Using Drill-Down Options for Detailed Views (A)
Allows analysts to click on high-level metrics and drill down into event details.
Helps teams pivot from summary statistics to specific security logs.
Example:
Clicking on a failed login trend chart reveals specific failed login attempts per user.
#2. Standardizing Color Coding for Alerts (B)
Consistent color usage enhances readability and priority identification.
Example:
Red # Critical incidents
Yellow # Medium-risk alerts
Green # Resolved issues
#3. Adding Context-Sensitive Filters (D)
Filters allow users to focus on specific security events without running new searches.
Example:
A dropdown filter for "Event Severity" lets analysts view only high-risk events.
#Incorrect Answers:
C: Limiting the number of panels on the dashboard # Dashboards should be optimized, not restricted.
E: Avoiding performance optimization # Performance tuning is essential for responsive dashboards.
#Additional Resources:
Splunk Dashboard Design Best Practices
Optimizing Security Dashboards in Splunk

NEW QUESTION # 35
What is the primary purpose of data indexing in Splunk?

A. To visualize data using dashboards
B. To ensure data normalization
C. To store raw data and enable fast search capabilities
D. To secure data from unauthorized access

Answer: C

Explanation:
Understanding Data Indexing in Splunk
In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.
#Why is Data Indexing Important?
Stores raw machine data (logs, events, metrics) in a structured manner.
Enables fast searching through optimized data storage techniques.
Uses an indexer to process, compress, and store data efficiently.
Why the Correct Answer is B?
Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.
It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.
#Incorrect Answers & Explanations
A: To ensure data normalization # Splunk normalizes data using Common Information Model (CIM), not indexing.
C: To secure data from unauthorized access # Splunk uses RBAC (Role-Based Access Control) and encryption for security, not indexing.
D: To visualize data using dashboards # Dashboards use indexed data for visualization, but indexing itself is focused on data storage and retrieval.
#Additional Resources:
Splunk Data Indexing Documentation
Splunk Architecture & Indexing Guide

NEW QUESTION # 36
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

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

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 # 37
What is the primary function of summary indexing in Splunk reporting?

A. Storing unprocessed log data
B. Creating pre-aggregated data for faster reporting
C. Enhancing the accuracy of alerts
D. Normalizing raw data for analysis

Answer: B

Explanation:
Primary Function of Summary Indexing in Splunk Reporting
Summary indexing allows pre-aggregation of data to improve performance and speed up reports.
#Why Use Summary Indexing?
Reduces processing time by storing computed results instead of raw data.
Helps SOC teams generate reports faster and optimize search performance.
Example:
Instead of searching millions of firewall logs in real-time, a summary index stores daily aggregated counts of blocked IPs.
#Incorrect Answers:
A: Storing unprocessed log data # Raw logs are stored in primary indexes, not summary indexes.
C: Normalizing raw data for analysis # Normalization is handled by CIM and data models.
D: Enhancing the accuracy of alerts # Summary indexing improves reporting performance, not alert accuracy.
#Additional Resources:
Splunk Summary Indexing Guide
Optimizing SIEM Reports in Splunk

NEW QUESTION # 38
......

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Splunk Certified Cybersecurity Defense Engineer new practice materials & SPLK-5002 latest practice torrent & Splunk Certified Cybersecurity Defense Engineer pdf vce dumps

SPLK-5002 Valid Test Testking | SPLK-5002 Dumps Guide

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q33-Q38):

Pass-Sure SPLK-5002 Exam Guide: Splunk Certified Cybersecurity Defense Engineer are famous for high pass rate - Actual4dump

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