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- Splunk SPLK-5003 Exam Syllabus Topics:
- Section Weight Objectives
- Topic 1: Scaling Cybersecurity Defenses and DevSecOps 15% - Security in software development lifecycle
- Cloud and hybrid environment security design
- Distributed and high-availability security deployments
- Topic 2: Advanced Threat Intelligence and Analysis 5% - Threat intelligence lifecycle management
- Integrating threat data into security architecture
- Advanced threat hunting methodologies
- Topic 3: Measuring and Improving Security Program Effectiveness 15% - Security metrics and KPIs design
- Maturity models and capability assessments
- Continuous monitoring and improvement processes
- Topic 4: Security Capability Selection, Placement, and Configuration 15% - Optimization and tuning of security components
- Evaluating and selecting security technologies
- Architectural placement and integration design
- Topic 5: Security Data Management 20% - Data retention, storage, and archiving strategies
- Enterprise-scale data ingestion and normalization
- Data quality, validation, and governance
- Schema design and Common Information Model (CIM) implementation
- Topic 6: Advanced Automation and Orchestration 10% - Integration with enterprise systems and tools
- Designing scalable SOAR architectures
- Automation strategy and governance
- Topic 7: Governance, Risk and Compliance 10% - Policy development and enforcement
- Risk assessment and management frameworks
- Aligning security with regulatory requirements
- Topic 8: Advanced Incident Response and Management 10% - Orchestrated response workflows
- Designing incident response frameworks
- Post-incident activities and continuous improvement
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- Splunk Certified Cybersecurity Defense Architect 認定 SPLK-5003 試験問題 (Q84-Q89):
- 質問 # 84
- How does a highly segmented network design affect security orchestration capabilities?
- Choose two
- A. Reduces points of failure.
- B. Simplifies API and service accessibility.
- C. Constrains security orchestration integrations because of complex firewall rules.
- D. Depends heavily on automation broker to perform automation.
- 正解：C、D
- 解説：
- Highly segmented networks establish restrictive communication boundaries between systems, applications, and security zones.
- Although segmentation improves containment and limits unauthorized lateral movement, it introduces additional connectivity requirements for security orchestration platforms.
- Option C identifies a significant architectural constraint: SOAR integrations may require API connectivity to endpoint platforms, directory services, firewalls, and other tools located inside restricted network segments.
- Firewall rules, routing limitations, proxy requirements, and authentication boundaries can prevent centrally hosted automation services from directly reaching these systems.
- Option D identifies the role of an automation broker in addressing this constraint.
- Splunk SOAR Automation Broker enables authorized automation actions to execute against applications and assets in private or segregated network environments.
- The broker can establish the required connection from an approved network location while preserving restrictions on unsolicited inbound access.
- Splunk documentation specifically describes Automation Broker support for segregated network segments.
- However, not every segmented architecture strictly requires an automation broker. Direct connectivity through appropriately controlled gateways may be sufficient in some deployments.
- Option D is therefore applicable to the broker-based architecture implied by the question, rather than a universal requirement.
- Segmentation does not inherently simplify service accessibility, making option A incorrect. It also does not automatically reduce infrastructure failure points.
- Official reference / study topic: Splunk SOAR, About Automation Broker and Automation Broker System Requirements.
- 質問 # 85
- Ahmed was recently hired as a security architect. He wants to assess how effectively his new organization covers threat-actor tactics such as establishing persistence and escalating privileges.
- What should Ahmed do first?
- A. Export security logs from the SIEM to a report to do a gap analysis.
- B. Perform a red team assessment to identify gaps.
- C. Inventory existing security tools and map them to the MITRE ATT & CK framework.
- D. Inventory existing security tools and map them to the MITRE D3FEND framework.
- 正解：C
- 解説：
- MITRE ATT & CK provides a structured knowledge base of adversary tactics, techniques, and procedures derived from observed threat behavior.
- It is particularly appropriate for assessing defensive coverage against activities such as persistence, privilege escalation, credential access, lateral movement, and exfiltration.
- Ahmed should first inventory the organization ' s existing security technologies and determine which ATT & CK techniques they can meaningfully detect, prevent, or investigate.
- This assessment establishes an initial capability map that can reveal gaps in telemetry, detection content, control configuration, and operational coverage.
- For example, an endpoint security product may collect process execution events that support investigation of persistence mechanisms, while identity logs may help identify unauthorized privilege assignments.
- Merely possessing a security product does not establish that relevant ATT & CK techniques are adequately covered. Ahmed must also validate data availability, enabled detections, and actual control effectiveness.
- MITRE D3FEND focuses on defensive countermeasures and provides useful complementary information, but ATT & CK more directly classifies the adversary tactics specified in the question.
- Exporting SIEM logs without an established analytical framework may produce an incomplete assessment.
- Red team testing is valuable for validating controls but is more effective after initial coverage mapping identifies priority scenarios.
- The appropriate sequence begins with inventory, ATT & CK mapping, gap identification, and subsequent validation.
- Official reference / study topic: MITRE ATT & CK, Enterprise Tactics: Persistence and Privilege Escalation; MITRE D3FEND.
- 質問 # 86
- Where should high-value, low-volume data be kept for searching, such as alerts generated by security tools?
- A. In a highly compressed archive
- B. In a file share
- C. In a high speed query platform
- D. In an SQL database
- 正解：C
- 解説：
- High-value, low-volume security data should be maintained in a platform that provides rapid searching, efficient correlation, and reliable access for operational investigations.
- Security alerts generated by endpoint protection systems, firewalls, identity platforms, and threat-detection tools frequently contain information requiring immediate attention.
- Because these records are relatively limited in volume but operationally significant, they are well suited to high-performance search infrastructure.
- Splunk Enterprise Security uses searchable event data and detection results to identify suspicious behavior, correlate related findings, and support investigative workflows.
- A high-speed query platform allows analysts to retrieve alerts quickly, associate them with relevant assets and identities, and examine supporting telemetry without unnecessary archival restoration delays.
- The architecture should provide appropriate indexing, retention, access controls, and availability according to the organization ' s incident-response objectives.
- Splunk Validated Architectures recommend appropriate indexing resources, fast storage for performance- sensitive data, and minimizing network latency between indexing and search components.
- A highly compressed archive is more suitable for infrequently accessed historical records where retrieval latency is acceptable.
- A conventional file share generally lacks the indexing and correlation capabilities expected of a SIEM.
- An SQL database may support analytical workloads but is not automatically optimized for heterogeneous security events and operational detection searches.
- Therefore, a high-speed query platform is the most appropriate destination.
- Official reference / study topic: Splunk Validated Architectures, Deployment Tiers, Indexing and Search Performance.
- 質問 # 87
- A U.S.-based company recently acquired a German company. The U.S. organization plans to consolidate its customer rewards program globally and start collecting purchasing information about German customers for transmission to its U.S. data center.
- Which data privacy law would the organization violate if it did not update the German End User Agreement?
- A. GDPR
- B. HIPAA
- C. CCPA
- D. FERPA
- 正解：A
- 解説：
- The General Data Protection Regulation (GDPR) governs the processing of personal data relating to individuals in the European Union, including customers in Germany.
- The proposed consolidation involves collecting purchasing information and transferring customer data to infrastructure located in the United States.
- Such processing must comply with GDPR principles, including lawfulness, fairness, transparency, purpose limitation, data minimization, and appropriate security safeguards.
- Organizations must inform data subjects about relevant processing activities, including the purposes of collection, legal basis, recipients, retention periods, individual rights, and applicable international data transfers.
- The German customer privacy information must therefore accurately describe the expanded rewards program and associated processing arrangements.
- However, updating an End User Agreement alone does not automatically establish compliance, and failure to modify that particular document is not inherently a GDPR violation if legally required information is provided through another valid mechanism.
- The organization must also establish an appropriate lawful basis for processing and satisfy international transfer requirements, potentially through an applicable adequacy mechanism or contractual safeguards.
- FERPA concerns education records, HIPAA addresses particular protected health information in the United States, and CCPA concerns California consumer privacy.
- GDPR is the applicable framework for this scenario.
- Official reference / study topic: European Commission, GDPR transparency and international data transfers; certification blueprint Objective 6.2.
- 質問 # 88
- Which architecture decision best supports multi-tenancy in a Splunk deployment shared across several business units with strict data segregation requirements?
- A. A single index with no access restrictions
- B. Shared search heads with shared admin credentials
- C. Single shared index with role-based search filters only
- D. Separate indexes per business unit combined with role-based access controls
- 正解：D
- 解説：
- Combining index-level segregation with role-based access controls provides both a hard data boundary and enforced access policy, which is the recommended approach for strict multi-tenant data segregation.
- 質問 # 89
- .....
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