Splunk SPLK-5002 New Study Questions - SPLK-5002 Pass Guarantee

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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
Topic 2	Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.
Topic 3	Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
Topic 4	Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
Topic 5	Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q40-Q45):

NEW QUESTION # 40
What are critical elements of an effective incident report?(Choosethree)

A. Steps taken to resolve the issue
B. Timeline of events
C. Financial implications of the incident
D. Recommendations for future prevention
E. Names of all employees involved

Answer: A,B,D

Explanation:
Critical Elements of an Effective Incident Report
An incident reportdocuments security breaches, outlines response actions, and provides prevention strategies.
#1. Timeline of Events (A)
Provides achronological sequenceof the incident.
Helps analystsreconstruct attacksand understand attack vectors.
Example:
08:30 AM- Suspicious login detected.
08:45 AM- SOC investigation begins.
09:10 AM- Endpoint isolated.
#2. Steps Taken to Resolve the Issue (C)
Documentscontainment, eradication, and recovery efforts.
Ensures teamsfollow response procedures correctly.
Example:
Blocked malicious IPs, revoked compromised credentials, and restored affected systems.
#3. Recommendations for Future Prevention (E)
Suggestssecurity improvementsto prevent future attacks.
Example:
Enhance SIEM correlation rules, enforce multi-factor authentication, or update firewall rules.
#Incorrect Answers:
B: Financial implications of the incident# Important for executives,not crucial for an incident report.
D: Names of all employees involved# Avoidsexposing individualsand focuses on security processes.
#Additional Resources:
Splunk Incident Response Documentation
NIST Computer Security Incident Handling Guide

NEW QUESTION # 41
What are the essential components of risk-based detections in Splunk?

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

Answer: C

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 # 42
Which actions help to monitor and troubleshoot indexing issues?(Choosethree)

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

Answer: B,C,D

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 # 43
What are key benefits of using summary indexing in Splunk? (Choose two)

A. Improves search performance on aggregated data
B. Increases data retention period
C. Reduces storage space required for raw data
D. Provides automatic field extraction during indexing

Answer: A,B

Explanation:
Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.
Key Benefits of Summary Indexing:
Improves Search Performance on Aggregated Data (B)
Reduces query execution time by storing pre-calculated results.
Helps SOC teams analyze trends without running resource-intensive searches.
Increases Data Retention Period (D)
Raw logs may have short retention periods, but summary indexes can store key insights for longer.
Useful for historical trend analysis and compliance reporting.

NEW QUESTION # 44
What elements are critical for developing meaningful security metrics? (Choose three)

A. Consistent definitions for key terms
B. Avoiding integration with third-party tools
C. Relevance to business objectives
D. Visual representation through dashboards
E. Regular data validation

Answer: A,C,E

Explanation:
Key Elements of Meaningful Security Metrics
Security metrics shouldalign with business goals, be validated regularly, and have standardized definitionsto ensure reliability.
#1. Relevance to Business Objectives (A)
Security metrics should tie directly tobusiness risks and priorities.
Example:
A financial institution might trackfraud detection ratesinstead of genericmalware alerts.
#2. Regular Data Validation (B)
Ensures data accuracy byremoving false positives, duplicates, and errors.
Example:
Validatingphishing alert effectivenessby cross-checking withuser-reported emails.
#3. Consistent Definitions for Key Terms (E)
Standardized definitions preventmisinterpretation of security metrics.
Example:
Clearly definingMTTD (Mean Time to Detect) vs. MTTR (Mean Time to Respond).
#Incorrect Answers:
C: Visual representation through dashboards# Dashboards help, butdata quality matters more.
D: Avoiding integration with third-party tools# Integrations withSIEM, SOAR, EDR, and firewallsarecrucial for effective metrics.
#Additional Resources:
NIST Security Metrics Framework
Splunk

NEW QUESTION # 45
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SPLUNK SPLK-5002 NEW STUDY QUESTIONS - SPLK-5002 PASS GUARANTEE

Splunk SPLK-5002 New Study Questions - SPLK-5002 Pass Guarantee