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Splunk SPLK-5003 Exam Syllabus Topics:

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

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q147-Q152):

NEW QUESTION # 147
Hannah is building a data lifecycle management strategy for her organization. She is evaluating data retention requirements such as how and when to delete or destroy data as part of that strategy. What factors must Hannah consider as part of defining data destruction requirements?
(Choose all that apply.)

Answer: A,B

Explanation:
Data destruction requirements must account for both deletion obligations and retention obligations. Privacy and compliance rules may require data to be deleted when a valid customer request is received, while legal or regulatory requirements may require certain records to be retained for a defined minimum period before destruction is allowed.


NEW QUESTION # 148
Clara is responsible for how her organization's SIEM ingests and stores event data. The newest version of the SIEM now includes APIs for managing the data ingestion pipelines. Clara wants to evaluate methods to programmatically manage those pipelines using her company's version control and continuous integration systems. What benefits would this provide to the organization?
(Choose all that apply.)

Answer: B,C,D

Explanation:
Programmatically managing SIEM ingestion pipelines through version control and CI systems improves governance, reliability, and auditability. Version control allows rollback to a known-good configuration, approval workflows ensure changes are reviewed before deployment, and commit history records who made each change.


NEW QUESTION # 149
Melinda's team is responsible for maintaining detection content for a large organization. Her team consists of ten detection engineers, who need to log in to multiple SIEMs in order to make any changes to rules. Melinda wants to evaluate a "detection as code" methodology using the organization's version control and continuous integration systems. What benefits can detection as code provide her team? (Choose all that apply.)

Answer: B,C,D

Explanation:
Detection as code improves detection engineering by using CI/CD automation to validate and deploy rules consistently, reducing manual changes across multiple SIEMs. Version control provides change history, auditability, peer review, and rollback capability, while reusable components such as shared logic, templates, and macros reduce duplication and make detection development easier to maintain.


NEW QUESTION # 150
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 # 151
How can an organization's identity and access management (IAM) architecture enable security orchestration?

Answer: C

Explanation:
IAM architecture enables security orchestration by allowing automated response actions with controlled, granular permissions. This lets SOAR workflows safely disable accounts, reset passwords, revoke sessions, or modify privileges during an investigation or containment process.


NEW QUESTION # 152
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