Pass Guaranteed Quiz 2026 SPLK-5003: Splunk Certified Cybersecurity Defense Architect Marvelous Hot Questions

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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Governance, Risk and Compliance10%- Security governance
  • 1. Risk management frameworks
  • 2. Compliance requirements
  • 3. Policy alignment
Advanced Incident Response and Management10%- Incident response architecture
  • 1. Incident management optimization
  • 2. Response workflows
  • 3. Investigation processes
Measuring and Improving Security Program Effectiveness15%- Security metrics and performance
  • 1. Risk measurement
  • 2. Continuous improvement processes
  • 3. Program maturity assessment
Advanced Automation and Orchestration10%- SOAR architecture
  • 1. Workflow automation
  • 2. Playbook design
  • 3. Security orchestration
Security Data Management20%- Data architecture design
  • 1. Data quality and governance
  • 2. Security data onboarding and normalization
  • 3. Data lifecycle management
Scaling Cybersecurity Defenses and DevSecOps15%- Security architecture at scale
  • 1. DevSecOps integration
  • 2. Scalable defense strategies
  • 3. Enterprise security operations design
Advanced Threat Intelligence and Analysis5%- Threat intelligence architecture
  • 1. Threat intelligence integration
  • 2. Threat-informed defense
  • 3. Advanced threat analysis
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 (Q63-Q68):

NEW QUESTION # 63
Sophia manages data ingestion for her organization's SIEM. The data science team wants to perform real-time analytics on security data and asks Sophia for a copy of all new endpoint telemetry from the current point forward. The SIEM currently collects 15TB of endpoint telemetry every day. Which of the following solutions can Sophia use to best help the data science team?

Answer: D

Explanation:
A message bus is the best solution because it enables endpoint telemetry to be streamed from the point of collection to multiple consumers in real time. This supports both SIEM ingestion and the data science team's analytics needs without relying on large historical exports, delayed batch reports, or inefficient nightly file generation for 15TB of daily telemetry.


NEW QUESTION # 64
To ensure that leadership remains aware of the security team's performance, which measurements should be reported regularly?
Choose three

Answer: A,B,C

Explanation:
Security leadership requires operational performance indicators that communicate risk reduction, defensive effectiveness, and incident-response capability. Patch compliance percentage, Mean Time to Contain (MTTC), and Mean Time to Respond (MTTR) provide complementary measurements of these outcomes.
Patch compliance percentage measures how effectively the organization maintains required security updates across its managed assets. High compliance with risk-based remediation deadlines generally indicates stronger vulnerability-management practices and reduced exposure to known vulnerabilities.
Mean Time to Contain measures the elapsed time required to restrict an incident ' s scope following detection or recognition. A lower containment time can reduce attacker movement, business interruption, and potential data loss.
Mean Time to Respond evaluates response efficiency across a defined incident population. Its precise start and end points must be standardized, particularly because organizations sometimes use MTTR to mean either response or resolution time.
These measures should be accompanied by consistent reporting periods, severity segmentation, historical trends, and agreed targets.
The number of emergency change requests is principally an IT service-management indicator. Although it may expose operational instability or process weaknesses, it does not directly measure cybersecurity-team effectiveness.
Together, the selected measurements provide leadership with an actionable view of prevention and response performance.
Official reference / study topic: Splunk certification blueprint, Measuring and Improving Security Program Effectiveness, Objectives 7.1-7.2.


NEW QUESTION # 65
Which of the following best describes the purpose of a "kill chain" mapping in detection engineering?

Answer: C

Explanation:
Kill chain mapping (e.g., Lockheed Martin Cyber Kill Chain or MITRE ATT&CK) is used to align detections with stages of an attacker's lifecycle, helping architects identify where coverage is strong or lacking.


NEW QUESTION # 66
Which of the following explains the benefits of modern cybersecurity defense data architectures using technologies such as data fabric, data lakes, message bus, and federated search?

Answer: D

Explanation:
Modern cybersecurity data architectures distribute storage, processing, routing, and access so different teams can use the right data in the right place for their specific detection, investigation, analytics, retention, and compliance needs. This avoids forcing all telemetry into one platform while still enabling broad visibility and flexible consumption.


NEW QUESTION # 67
In a CI/CD pipeline, what effect do long-running SAST/DAST security scans often have?

Answer: B

Explanation:
Security testing is most effective when it integrates into development workflows without creating excessive operational friction.
Long-running Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) processes can increase build duration, delay pull-request completion, and slow software deployment.
When security checks consistently disrupt delivery schedules, development teams may attempt to disable scanners, weaken enforcement policies, introduce exceptions, or move testing outside required pipelines.
These workarounds can reduce detection coverage and increase the likelihood that vulnerabilities reach production.
The appropriate response is not to eliminate security testing but to design efficient, risk-based scanning workflows.
GitHub ' s official code-scanning documentation recommends techniques such as parallelizing analysis, allocating suitable computational resources, optimizing scan scope, and selecting appropriate execution schedules.
Organizations can run rapid, high-priority scans during pull requests while scheduling more comprehensive analysis for nightly builds or other controlled stages.
Critical findings should continue to enforce approved release policies.
DAST testing may be performed against dedicated staging environments to avoid introducing unnecessary disruption into developer workflows.
Option B describes the potential behavioral consequence of excessive scanning delays.
Options C and D describe desirable outcomes but are not reliable consequences of slow security checks.
Option A is unrelated to the performance problem.
Official reference / study topic: GitHub, Code Scanning Analysis Takes Too Long, performance optimization.


NEW QUESTION # 68
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