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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Advanced Automation and Orchestration10%- Integration with enterprise systems and tools
- Automation strategy and governance
- Designing scalable SOAR architectures
Topic 2: Security Data Management20%- Enterprise-scale data ingestion and normalization
- Data quality, validation, and governance
- Schema design and Common Information Model (CIM) implementation
- Data retention, storage, and archiving strategies
Topic 3: Advanced Threat Intelligence and Analysis5%- Advanced threat hunting methodologies
- Integrating threat data into security architecture
- Threat intelligence lifecycle management
Topic 4: Governance, Risk and Compliance10%- Aligning security with regulatory requirements
- Risk assessment and management frameworks
- Policy development and enforcement
Topic 5: Scaling Cybersecurity Defenses and DevSecOps15%- Cloud and hybrid environment security design
- Distributed and high-availability security deployments
- Security in software development lifecycle
Topic 6: Advanced Incident Response and Management10%- Designing incident response frameworks
- Post-incident activities and continuous improvement
- Orchestrated response workflows
Topic 7: Measuring and Improving Security Program Effectiveness15%- Maturity models and capability assessments
- Security metrics and KPIs design
- Continuous monitoring and improvement processes
Topic 8: Security Capability Selection, Placement, and Configuration15%- Architectural placement and integration design
- Evaluating and selecting security technologies
- Optimization and tuning of security components

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q84-Q89):

NEW QUESTION # 84
Which of the following are valid considerations when prioritizing data source onboarding for a SIEM? (Choose all that apply.)

Answer: A,C,D

Explanation:
Data source onboarding should be prioritized based on relevance to threat scenarios, licensing/ingestion cost impact, and closing detection coverage gaps -- not on vendor popularity, which is not a security-relevant criterion.


NEW QUESTION # 85
Which architecture decision best supports multi-tenancy in a Splunk deployment shared across several business units with strict data segregation requirements?

Answer: C

Explanation:
Combining index-level segregation with role-based access controls provides both a hard data boundary and enforced access policy, which is the recommended approach for strict multi-tenant data segregation.


NEW QUESTION # 86
Kevin is a security architect at a publicly traded company. Why does the business care about a Security Operations Center (SOC)'s metrics for Mean Time to Detect (MTTD)?

Answer: B

Explanation:
Mean Time to Detect matters to the business because delayed detection can allow incidents to spread, disrupt critical operations, and increase recovery impact. Faster detection supports business continuity by helping the organization contain threats before they cause larger outages, data loss, or operational disruption.


NEW QUESTION # 87
An architect should consider which of the following when evaluating a new cybersecurity SaaS offering for potential introduction into the corporate environment? (Choose all that apply.)

Answer: C,D

Explanation:
When evaluating a cybersecurity SaaS offering, the architect should consider where data will be stored and processed to address regulatory, privacy, and sovereignty requirements. Third-party attestations and certifications help validate the provider's security, compliance posture, and operational controls before introducing the service into the corporate environment.


NEW QUESTION # 88
An organization is ingesting firewall logs from three different vendors. The security operations team reports that dashboard panels and correlation searches related to network traffic are missing data from two of the vendors. What is the most likely cause of this issue, and how should the architect resolve it?

Answer: A

Explanation:
Splunk Enterprise Security relies heavily on the Common Information Model (CIM) to normalize data from disparate sources. If firewall logs from different vendors are not mapped properly to the Network Traffic data model (via tags, eventtypes, and field aliases), they will not appear in CIM-dependent dashboards or correlation searches.


NEW QUESTION # 89
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