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Splunk SPLK-5003 Exam Syllabus Topics:

Section	Weight	Objectives
Security Operations Strategy		- Security operations planning 1. Design of detection and response workflows 2. Security capability maturity planning
Security Architecture and Defense Design		- Risk and governance alignment 1. Security program alignment with organizational risk 2. Measurement of security effectiveness - Enterprise security architecture design 1. Design scalable security defense controls 2. Workflow orchestration across SOC environments
Security Data Management	20%	- Security data integration strategies 1. Security data onboarding and normalization approaches 2. Data-driven security architecture design
Advanced Threat Intelligence and Analysis	5%	- Adversary modeling and emulation 1. Threat modeling integration into security operations - Threat intelligence strategy development 1. Use of open source and commercial intelligence providers 2. Threat intelligence lifecycle integration 3. Confidence scoring and curation of intelligence

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q103-Q108):

NEW QUESTION # 103
During a security code review, one of the senior developers complains to the security architect that there have been unauthorized modifications to the code going into the nightly builds. Which of the following methods can ensure only authorized code modifications are part of the nightly builds?

A. Incorporate SAST and DAST into CI/CD pipeline.
B. Configure the main branch to be protected.
C. Require developer signed commits.
D. Add MFA to developer authentication.

Answer: B

Explanation:
Protecting the main branch helps ensure that only approved and authorized changes are included in nightly builds. Branch protection can enforce review requirements, restrict who can merge changes, require passing checks, and prevent direct unauthorized modifications to production build sources.

NEW QUESTION # 104
Which of the following are key advantages of providing "paved road" security engineering templates? (Choose all that apply.)

A. They enable rapid onboarding of new projects by offering standardized, security-hardened infrastructure patterns.
B. They eliminate the need for teams to perform any additional security reviews or testing after initial deployment.
C. They help enforce consistent security controls across diverse environments and reduce human error in manual configuration.
D. They can integrate with CI/CD pipelines to ensure security and compliance checks are automated as part of the development workflow.

Answer: A,C,D

Explanation:
"Paved road" security engineering templates provide approved, reusable patterns that help teams start projects faster with secure defaults. They can be built into CI/CD workflows to automate security and compliance checks, while also improving consistency across environments and reducing manual configuration mistakes.

NEW QUESTION # 105
Which of the following are valid use cases for the MLTK (Machine Learning Toolkit) in a security context? (Choose all that apply.)

A. Automatically writing SPL search queries
B. Clustering similar security events for triage
C. Predicting future login failure trends
D. Anomaly detection on network traffic volume

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 # 106
Which stage in the DevOps CI/CD pipeline is the most effective to generate an SBOM?

A. When the application is pushed into production
B. During the requirements gathering phase to ensure legal is involved early on in the process
C. During the build phase to capture all the dependencies as they are assembled
D. During the UAT phase to capture any inconsistencies

Answer: C

Explanation:
Generating an SBOM during the build phase is most effective because this is when application components, libraries, packages, and dependencies are assembled into the deliverable artifact.
This produces an accurate inventory of what is actually included before deployment or release.

NEW QUESTION # 107
Which of the following is the primary benefit of using summary indexing for high-volume, long- running statistical searches?

A. It eliminates the need for any raw data retention
B. It automatically generates notable events
C. It pre-computes and stores search results at intervals, reducing repeated computation over large raw datasets
D. It replaces the need for data models

Answer: C

Explanation:
Summary indexing periodically stores the results of expensive searches so that future queries over long time ranges can use the smaller summarized dataset instead of recomputing against full raw data, improving performance.

NEW QUESTION # 108
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