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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Splunk Enterprise Security Administration | 10-15% | - ES upgrade and maintenance - Backup and recovery procedures - Performance tuning and optimization - User management and authentication - ES content management |
| Topic 2: Threat Detection and Hunting | 25-30% | - Adversarial tactics, techniques, and procedures (ATT&CK) - Search and detection frameworks - Notable events and risk analysis - Creating and modifying detections - Using Splunk ES threat intelligence - Proactive threat hunting methodologies |
| Topic 3: Security Operations Center (SOC) Fundamentals | 10-15% | - SIEM architecture in Splunk - SOC roles and responsibilities - Alert triage workflow - Security monitoring concepts |
| Topic 4: Incident Response and Investigation | 20-25% | - Container and cloud environment investigation - Incident response workflows - Using correlation searches for investigation - Malware analysis and forensics - Investigation best practices - Timeline reconstruction |
| Topic 5: Splunk Enterprise Security (ES) Configuration | 20-25% | - Managing asset and identity correlation - ES dashboards and navigation - Configuring data inputs and normalization - ES deployment and architecture - Incident review and management |
| Topic 6: Splunk SOAR for Security Automation | 10-15% | - Automation workflows and integrations - Incident response automation - SOAR platform fundamentals - SOAR and ES integration - Creating and managing playbooks |
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Die Splunk SPLK-5002 Zertifizierungsprüfung ist schon eine der beliebten IT-Zertifizierungsprüfungen geworden. Aber für die Prüfung braucht man viel Zeit und Energie, um die Fachkenntnisse gut zu beherrschen. Im diesem Zeitalter, wo die Zeit sehr geschätzt wird, betrachtet man Zeit wie Geld. Das Schulungsprogramm zur Splunk SPLK-5002 Zertifizierungsprüfung von Fast2test dauert ungefähr 20 Stunden. Dann können Sie Ihre Fachkenntnisse konsolidierern und sich gut auf die Splunk SPLK-5002 Zertifizierungsprüfung vorbereiten.
70. Frage
Engineers are commonly asked to turn data sources like EDR alerts into risk events. Doing so requires a dynamic mapping of the signatures in the rule to MITRE ATT&CK. Which of the following fields could be used to dynamically set the MITRE ATT&CK technique ID for the EDR alerts?
Antwort: D
Begründung:
Risk-based alerting expects MITRE ATT&CK mappings to be provided through the annotations namespace. The correct dynamic field for specifying the ATT&CK technique ID is annotations.mitre_attack.mitre_technique_id, which Splunk uses when generating risk events.
71. Frage
What is the primary function of a Lean Six Sigma methodology in a security program?
Antwort: C
Begründung:
Lean Six Sigma (LSS) is a process improvement methodology used to enhance operational efficiency by reducing waste, eliminating errors, and improving consistency.
Primary Function of Lean Six Sigma in a Security Program:
Improves security operations efficiency by optimizing alert handling, threat hunting, and incident response workflows.
Reduces unnecessary steps in SOC processes, eliminating redundancies in threat detection and response.
Enhances decision-making by using data-driven analysis to improve security metrics and Key Performance Indicators (KPIs).
72. Frage
What is a key feature of effective security reports for stakeholders?
Antwort: B
Begründung:
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.
73. Frage
How can you ensure efficient detection tuning?(Choosethree)
Antwort: A,B,C
Begründung:
Ensuring Efficient Detection Tuning in Splunk Enterprise Security
Detection tuning is essential to minimize false positives and improve security visibility.
#1. Perform Regular Reviews of False Positives (A)
Reviewing false positives helps refine detection logic.
Analysts should analyze past alerts and adjust correlation rules.
Example:
Tuning a failed login correlation search to exclude known legitimate admin accounts.
#2. Use Detailed Asset and Identity Information (B)
Enriches detections with asset and user context.
Helps differentiate high-risk vs. low-risk security events.
Example:
A login from an executive's laptop is higher risk than from a test server.
#3. Automate Threshold Adjustments (D)
Dynamic thresholds adjust based on activity baselines.
Reduces false positives while maintaining security coverage.
Example:
A brute-force detection rule dynamically adjusts its alerting threshold based on normal user behavior.
C: Disable correlation searches for low-priority threats # Instead of disabling, adjust the rule sensitivity or lower alert severity.
#Additional Resources:
Splunk Security Essentials: Detection Tuning Guide
Tuning Correlation Searches in Splunk ES
74. Frage
What provides consistency for data mapping applied to data model and saved search exports between Splunk Enterprise Security and Splunk SOAR?
Antwort: D
Begründung:
Global field mappings provide a consistent mapping layer when data is exported from Enterprise Security data models or saved searches into Splunk SOAR. The objective is to ensure that semantically equivalent values are represented consistently regardless of which detection, search, or data model produced the source event.
This becomes important when SOAR receives security events from multiple searches. One source might expose an endpoint as dest, another as host, and another might use a product-specific field. Consistent global mapping allows downstream SOAR workflows to operate on standardized field semantics instead of requiring every playbook to understand every upstream schema variation.
A field alias is a Splunk knowledge object that can make one indexed or extracted field available under another name during search processing, but that is not the cross-export mapping mechanism requested here.
"Field labels" likewise do not establish the global ES-to-SOAR translation layer. The important clue is the requirement for consistency across both data-model and saved-search exports , which implies a centrally applied mapping configuration.
This design reduces duplicated transformation logic and improves the portability and reliability of automated response workflows.
Study Guide topics: Global field mappings, Enterprise Security-to-SOAR integration, data normalization, event export, automation data consistency.
75. Frage
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