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SPLUNK

Splunk Certified Cybersecurity Defense Architect

CYBERSECURITY-DEFENSE-ARCHITECTSplunk Cybersecurity Defense Architect

The Splunk Certified Cybersecurity Defense Architect certification validates your ability to architect and scale enterprise-grade security defenses. Designed for seasoned professionals, it demonstrates expertise in advanced security data management, automation, and risk-aligned strategies. Earn this credential to distinguish yourself as a strategic leader who can mature an organization's security posture and align complex security capabilities with business goals.

979 practice questions · Updated 2026-07-30

8Domains
39Objectives
226Concepts
979Questions

CYBERSECURITY-DEFENSE-ARCHITECT Curriculum

Every domain, objective, and concept the CYBERSECURITY-DEFENSE-ARCHITECT exam measures.

  1. Threat Intelligence Strategy Development
  2. Open Source Intelligence (OSINT) Integration
  3. Commercial Intelligence Provider Evaluation
  4. Intelligence Source Customization
  5. Intelligence Lifecycle Management
  6. Operationalizing Threat Intelligence
  1. Threat Intelligence Lifecycle Overview
  2. Threat Intelligence Sources
  3. Threat Intelligence Evaluation
  4. Threat Intelligence Curation
  5. Threat Intelligence Maintenance
  6. Threat Intelligence Confidence Scoring
  7. Integration into Security Operations
  8. Threat Intelligence Sharing and Collaboration
  9. Operationalizing Threat Intelligence
  1. Advanced Adversary Emulation
  2. Threat Modeling Frameworks
  3. Intelligence Integration
  4. Emulation Planning and Scoping
  5. Emulation Execution and Analysis

  1. Integration Strategy Fundamentals
  2. Data Source Identification
  3. Integration Architecture Design
  4. Implementation Planning
  5. Data Quality and Validation
  6. Performance and Scalability Considerations
  7. Troubleshooting and Optimization
  1. Identify cybersecurity event sources
  2. Identify identity directory sources
  3. Identify asset management system sources
  4. Identify vulnerability assessment sources
  5. Identify non-security data sources (observability tools)
  6. Evaluate data source relevance for cybersecurity operations
  1. High value data sources
  2. High signal data sources
  3. High noise data sources
  4. Windows process data vs EDR process flow
  5. Network/VPC flow vs packet capture
  6. Supporting security operations use cases
  1. Identify nonstandard data sources
  2. Understand out-of-band instrumentation
  3. Evaluate sensor placement
  4. Address data collection challenges
  5. Design monitoring strategies
  1. Data lifecycle stages
  2. Retention policy design
  3. Storage tiering strategy
  4. Data summarization techniques
  5. Data residency compliance
  6. Access control for data lifecycle
  1. Data normalization fundamentals
  2. Common Information Model (CIM)
  3. Common Event Format (CEF)
  4. Normalization for security monitoring
  5. Normalization for threat hunting
  6. Mapping data to CIM
  7. Mapping data to CEF
  8. Benefits and challenges of normalization
  1. Data Science Fundamentals for Security
  2. Machine Learning in Security Analytics
  3. Behavioral Analysis Techniques
  4. AI-Driven Security Operations
  5. Integration of Advanced Analytics with SIEM

  1. Incident Response vs. Incident Management
  2. ITIL/ITSM Process Integration
  3. Change Management Alignment
  4. Incident Management Workflow Integration
  5. Communication and Escalation Procedures
  6. Post-Incident Review and Continuous Improvement
  1. Incident Response Process Design
  2. Coordination Across Teams
  3. Communication Strategy
  4. Stakeholder Reporting
  5. Incident Documentation
  6. Post-Incident Review
  1. Forensic Readiness Planning
  2. Evidence Collection and Preservation
  3. Forensic Analysis Techniques
  4. Integration with Forensic Tools
  5. Compliance and Legal Considerations

  1. Network Architecture Impact on Orchestration
  2. Constraints from Network Topology
  3. Enablers in Network Design
  4. Mapping Orchestration Workflows to Network Paths
  5. Assessing Architectural Compatibility
  1. Cross-platform automation fundamentals
  2. Workflow orchestration for cybersecurity operations
  3. Investigation automation
  4. Detection automation
  5. Incident response automation
  6. Integration with security tools and APIs
  7. Handling complex automation scenarios
  8. Cross-platform compatibility and portability
  9. Security and compliance in automation
  1. Autonomous SOC Definition
  2. Benefits of Autonomous SOC
  3. Autonomous SOC Strategies
  4. Autonomous SOC Processes
  5. Technologies for Autonomous SOC
  6. Human Oversight in Autonomous SOC
  1. AI/ML Fundamentals for Threat Detection
  2. Automated Threat Response Workflows
  3. Integrating AI/ML with SOAR
  4. Model Training and Validation
  5. Handling False Positives and Negatives
  6. Continuous Improvement of AI/ML Models

  1. Detection as Code Principles
  2. Agile Methodologies in Security
  3. DevOps Practices for Security
  4. Version Control for Detections
  5. Automated Testing of Detections
  6. Scalable Deployment Strategies
  7. Collaboration and Review Workflows
  8. Monitoring and Feedback Loops
  1. DevOps Workflow Integration
  2. Security Sensor Deployment
  3. Security Control Automation
  4. Feedback Loops and Remediation
  1. SBOM Definition and Purpose
  2. SBOM Creation Methods
  3. SBOM Standards and Formats
  4. SBOM Integration into Security Workflows
  5. SBOM Leveraging for Vulnerability Identification
  6. SBOM in DevSecOps Pipeline
  7. SBOM Maintenance and Updates
  8. SBOM Sharing and Compliance
  1. CI/CD fundamentals for security data
  2. Pipeline design for security data
  3. Automated testing for security data
  4. Deployment strategies for security solutions
  5. Version control and configuration management
  6. Security and compliance in CI/CD
  7. Monitoring and rollback in CI/CD
  1. Patterns for Scaling Defenses
  2. Architecture Blueprints
  3. Paved Roads
  4. Developing Patterns and Blueprints
  5. Implementing Paved Roads
  6. Scaling Defenses with Patterns and Blueprints
  1. Application Architecture Security
  2. Infrastructure Architecture Security
  3. Defense-in-Depth Integration
  4. Architectural Security Patterns
  5. Scalability and Security Trade-offs

  1. NIST CSF overview
  2. NIST CSF core functions
  3. NIST CSF implementation tiers
  4. NIST CSF profiles
  5. Governmental directives and regulations
  6. Influence on defense architecture
  1. GDPR Overview
  2. Data Privacy Impact on Logging
  3. Data Sovereignty
  4. Data Residency
  5. Architectural Implications
  1. PCI DSS Requirements
  2. HIPAA Security Rule
  3. OT/ICS Frameworks
  4. Framework Mapping to Controls
  5. Compliance-Driven Architecture Decisions
  6. Framework Overlaps and Conflicts
  1. Security Control Cost Components
  2. Risk Offset Mechanisms
  3. Cost-Benefit Analysis of Controls
  4. Business Operating Cost Impact
  5. Risk Appetite and Control Investment
  1. Security Technology Alignment with GRC
  2. Risk Management Integration
  3. Compliance Mapping
  4. Control Frameworks and Standards
  5. Governance Structure and Accountability
  6. Risk Assessment and Control Selection
  7. Continuous Monitoring and Improvement

  1. Define security metrics
  2. Measure security metrics
  3. Report on security metrics
  4. Assess security program effectiveness
  5. Monitor security program effectiveness
  1. Risk Tolerance Definition
  2. Risk Appetite vs. Risk Tolerance
  3. Influence on Metric Selection
  4. Setting Metric Thresholds
  5. Aligning Metrics with Business Objectives
  6. Communicating Risk Tolerance to Stakeholders
  1. Define Continuous Process Improvement (CPI)
  2. Map CPI to metrics-driven security
  3. Identify CPI phases
  4. Apply CPI to security metrics
  5. Enrich security program efficacy
  1. Continuous Security Control Testing
  2. Security Control Testing Methodologies
  3. Gap Identification in Security Controls
  4. Remediation Planning and Prioritization
  5. Remediation Execution and Tracking
  6. Continuous Improvement Cycle

  1. Prevention Coverage
  2. Detection Coverage
  3. Response Coverage
  4. Recovery Coverage
  5. Gap Analysis
  1. Identify coverage gaps
  2. Assess architecture changes
  3. Assess configuration changes
  4. Assess process changes
  5. Select mitigation approach
  6. Implement mitigation plan
  1. Align security capabilities to business goals
  2. Prioritize security investments
  3. Communicate security value to stakeholders
  4. Incorporate organizational priorities into security planning
  5. Balance security needs with budget constraints
  1. Business Needs Analysis
  2. Organizational Technology Landscape Assessment
  3. Security Controls Mapping
  4. Selection Methodology Framework
  1. Technology Implementation Strategy Definition
  1. Resilience Requirements Analysis
  2. Solution Selection for Resilience
  3. Deployment Planning for Resilience
  4. Configuration for Resilience
  5. Alignment Validation
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for CYBERSECURITY-DEFENSE-ARCHITECT, so none is invented.