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Splunk SPLK-5003 Exam Syllabus Topics:

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

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q66-Q71):

NEW QUESTION # 66
Which approach most effectively minimizes the risk of secret exposure in CI/CD pipelines while also supporting automated deployments?

Answer: C

Explanation:
A dedicated secrets management service minimizes exposure by storing secrets outside source code and CI/CD configuration files, enforcing access controls, audit logging, rotation, and short- lived retrieval by authorized pipeline jobs. This supports automated deployments while reducing the chance that credentials are leaked, reused, or exposed broadly.


NEW QUESTION # 67
Carter is an architect at an organization drafting design and support documents for a net new SOAR deployment. What does Carter have to take into consideration? (Choose all that apply.)

Answer: B,C,D

Explanation:
A SOAR deployment must be designed with reliable connectivity to the systems it will orchestrate, clear ownership of operational responsibilities, and properly defined role-based access controls.
These considerations ensure playbooks can execute actions safely, teams understand accountability, and users have only the permissions needed for their roles.


NEW QUESTION # 68
An architect is designing SOAR (Splunk SOAR) playbooks for phishing response. Which action should typically occur first in the playbook logic?

Answer: B

Explanation:
Best practice in SOAR playbook design is to first enrich the artifacts (URLs, hashes, sender reputation) using threat intel sources to determine severity and validity before taking containment or notification actions.


NEW QUESTION # 69
Which of the following are valid use cases for the MLTK (Machine Learning Toolkit) in a security context? (Choose all that apply.)

Answer: B,C,D

Explanation:
MLTK supports anomaly detection, predictive analytics (e.g., forecasting), and clustering algorithms applicable to security data; it does not autonomously write SPL queries, which remains a manual/analyst task.


NEW QUESTION # 70
AJ has been tasked with designing controls for a new low latency, highly resilient application. The business requires no downtime in the event of a device failure or during maintenance. Which of the following deployment options will meet these needs?

Answer: A

Explanation:
An active/active cluster supports low latency and high resilience by allowing multiple nodes to process traffic simultaneously. If one device fails or requires maintenance, the remaining active nodes continue serving the application without downtime, while also helping distribute load during normal operations.


NEW QUESTION # 71
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