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Splunk SPLK-5003 Exam Syllabus Topics:

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

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q35-Q40):

NEW QUESTION # 35
Which of the following best describes how data science, machine learning, behavioral analysis, and AI improve threat detection compared to traditional detection approaches?

Answer: B

Explanation:
Data science, machine learning, behavioral analysis, and AI improve detection by identifying anomalies, relationships, and patterns that may not match predefined signatures or static rules.
This helps uncover unusual behavior, emerging threats, and subtle attack activity across large or complex datasets.


NEW QUESTION # 36
The SOC team has received an alert for suspicious activity on a device assigned to a finance team member. The alert indicates that an unusual executable file was launched and several outbound connections were attempted to an external IP address. Which of the following is considered a "high-signal" data source due to its visibility into devices and ability to detect suspicious activity?

Answer: D

Explanation:
EDR process execution telemetry is high-signal because it provides detailed endpoint visibility into executable launches, process behavior, parent-child relationships, file metadata, hashes, and related network activity. This makes it especially useful for detecting and investigating suspicious activity on a specific user device.


NEW QUESTION # 37
The internet facing WAF for a new customer facing application has been identified as a potential telemetry collection point. Which of the following best describes this data prior to any tuning or curation efforts?

Answer: C

Explanation:
Internet-facing WAF telemetry is high value because it provides visibility into attacks, suspicious requests, exploit attempts, and traffic patterns targeting a customer-facing application. Before tuning or curation, it is also typically high noise because public-facing applications receive large volumes of benign traffic, automated scanning, false positives, and repetitive web requests.


NEW QUESTION # 38
The cybersecurity team at a logistics management company plans to partner with their software engineering practice in a "shift-left" approach to secure the software development life cycle (SDLC). What improvement might the team recommend to facilitate early detection of software vulnerabilities?

Answer: C

Explanation:
IDE security plugins support shift-left security by identifying vulnerabilities while developers are writing code, before the code is committed. This enables earlier remediation, faster feedback, and fewer security issues entering the shared repository or CI/CD pipeline.


NEW QUESTION # 39
A financial institution requires that all security event data is retained in a highly available, tamper-evident state for compliance purposes. Which Splunk architectural feature should the Cybersecurity Defense Architect recommend to ensure data immutability and high availability?

Answer: D

Explanation:
Indexer Clustering ensures high availability by maintaining multiple copies of data across peer nodes. Enabling Data Integrity Control provides a cryptographic mechanism (using hashes) to verify that the data has not been tampered with since it was originally indexed, which is a critical requirement for compliance and forensic investigations.


NEW QUESTION # 40
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