Exam SPLK-5002 Quick Prep & Valid SPLK-5002 Dumps Demo

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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer
Exam Number:SPLK-5002
Related Certifications:Splunk Enterprise Security Certified Admin
Splunk Core Certified User
Splunk SOAR Certified Automation Developer
Exam Format:Multiple choice, Multiple select, Hands-on lab simulation
Available Languages:English
Passing Score:65-70% (variable)
Exam Duration:120 minutes
Certificate Validity Period:3 years
Exam Price:$200 USD
Real Exam Qty:82
Sample Questions:Splunk SPLK-5002 Sample Questions
Exam Way:Online proctored exam at Pearson VUE testing centers or remote proctoring
Pre Condition:Splunk Core Certified User, Splunk Enterprise Security Certified Admin, and Splunk SOAR Certified Automation Developer recommended; minimum 1-2 years hands-on Splunk security experience strongly advised
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html

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Latest Released Splunk Exam SPLK-5002 Quick Prep: Splunk Certified Cybersecurity Defense Engineer

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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 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
  • 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q73-Q78):

NEW QUESTION # 73
Which REST call will show a list of alerts with their specific commands, app, and title?

Answer: A

Explanation:
The correct REST endpoint to list alerts along with their commands, app, and title is:
| rest /servicesNS/user/-/alerts/alert_actions
| table title, eai:acl.app, label, payload_format, command
This query accesses alert actions in the context of the current user and retrieves the specified fields for reporting or inspection.


NEW QUESTION # 74
What is a key feature of effective security reports for stakeholders?

Answer: D

Explanation:
Security reports provide stakeholders (executives, compliance officers, and security teams) with insights into security posture, risks, and recommendations.
Key Features of Effective Security Reports
High-Level Summaries
Stakeholders don't need raw logs but require summary-level insights on threats and trends.
Actionable Insights
Reports should provide clear recommendations on mitigating risks.
Visual Dashboards & Metrics
Charts, KPIs, and trends enhance understanding for non-technical stakeholders.


NEW QUESTION # 75
Which Splunk feature makes SPL searches shorter and reusable by inserting it into search strings?

Answer: B

Explanation:
Macros allow predefined SPL fragments to be inserted into searches, making queries shorter, reusable, and easier to maintain.


NEW QUESTION # 76
What are the essential components of risk-based detections in Splunk?

Answer: D

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 # 77
What are the main steps of the Splunk data pipeline?(Choosethree)

Answer: A,C,D

Explanation:
The Splunk Data Pipeline consists of multiple stages that process incoming data from ingestion to visualization.
Main Steps of the Splunk Data Pipeline:
Input Phase (C)
Splunk collects raw data from logs, applications, network traffic, and endpoints.
Supports various data sources like syslog, APIs, cloud services, and agents (e.g., Universal Forwarders).
Parsing (D)
Splunk breaks incoming data into events and extracts metadata fields.
Removes duplicates, formats timestamps, and applies transformations.
Indexing (A)
Stores parsed events into indexes for efficient searching.
Supports data retention policies, compression, and search optimization.


NEW QUESTION # 78
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