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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Measuring and Improving Security Program Effectiveness15%- Security metrics and performance
  • 1. Continuous improvement processes
  • 2. Program maturity assessment
  • 3. Risk measurement
Topic 2: Governance, Risk and Compliance10%- Security governance
  • 1. Compliance requirements
  • 2. Risk management frameworks
  • 3. Policy alignment
Topic 3: Scaling Cybersecurity Defenses and DevSecOps15%- Security architecture at scale
  • 1. DevSecOps integration
  • 2. Enterprise security operations design
  • 3. Scalable defense strategies
Topic 4: Advanced Threat Intelligence and Analysis5%- Threat intelligence architecture
  • 1. Threat intelligence integration
  • 2. Threat-informed defense
  • 3. Advanced threat analysis
Topic 5: Advanced Incident Response and Management10%- Incident response architecture
  • 1. Incident management optimization
  • 2. Investigation processes
  • 3. Response workflows
Topic 6: Security Data Management20%- Data architecture design
  • 1. Data quality and governance
  • 2. Security data onboarding and normalization
  • 3. Data lifecycle management
Topic 7: Advanced Automation and Orchestration10%- SOAR architecture
  • 1. Security orchestration
  • 2. Playbook design
  • 3. Workflow automation
Topic 8: Security Capability Selection, Placement and Configuration15%- Security control architecture
  • 1. Capability integration
  • 2. Control placement strategies
  • 3. Technology selection

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

NEW QUESTION # 73
Which of the following best explains how quantifying the financial impact of a cybersecurity incident can help justify and secure additional budget for the cybersecurity team? (Choose all that apply.)

Answer: B

Explanation:
Quantifying financial impact translates cybersecurity risk into business terms, showing how investment can reduce expected losses from incidents. This makes it easier to justify additional budget by demonstrating potential cost avoidance, risk reduction, and measurable business value.


NEW QUESTION # 74
A security architect is designing a Splunk deployment that must support 90 days of searchable retention for 15TB/day of ingestion while minimizing storage costs. Which architecture component should be prioritized in the design?

Answer: B

Explanation:
SmartStore decouples compute from storage by caching only recently accessed data locally while storing the bulk of indexed data in cost-efficient remote object storage (e.g., S3), making it the most effective way to support large daily ingestion volumes with long retention at lower cost.


NEW QUESTION # 75
Which categories of SOAR playbooks are commonly used within a security operations center?
(Choose all that apply.)

Answer: A,B,C

Explanation:
Common SOC SOAR playbook categories include endpoint response, phishing investigation, and enrichment. These playbooks automate repeatable analyst tasks such as collecting endpoint context, analyzing reported phishing messages, detonating artifacts, enriching indicators, and gathering evidence to support triage and response.


NEW QUESTION # 76
An architect wants to reduce alert fatigue by aggregating multiple low-severity detections into a single higher-fidelity notable event tied to a specific entity. Which ES capability should be used?

Answer: D

Explanation:
Risk-Based Alerting assigns risk scores to entities (users, assets) based on individual observations, aggregating them over time so that only entities crossing a risk threshold generate a notable event, significantly reducing alert volume and fatigue.


NEW QUESTION # 77
A threat hunter is looking for suspicious login activity across multiple different authentication systems and cloud providers. Today, the threat hunter has to query multiple different data sources with unique logic to gather basic information about authentication events. What method provides a simple way to standardize data formats, and look for common activity across different sources?

Answer: D

Explanation:
Data normalization standardizes fields and event structures across different authentication systems and cloud providers. This allows threat hunters to search for common login activity using consistent field names and logic instead of writing separate queries for each unique data source.


NEW QUESTION # 78
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