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| Section | Weight | Objectives |
|---|---|---|
| Advanced Threat Intelligence and Analysis | 5% | - Integrating threat data into security architecture - Advanced threat hunting methodologies - Threat intelligence lifecycle management |
| Measuring and Improving Security Program Effectiveness | 15% | - Security metrics and KPIs design - Continuous monitoring and improvement processes - Maturity models and capability assessments |
| Advanced Incident Response and Management | 10% | - Orchestrated response workflows - Designing incident response frameworks - Post-incident activities and continuous improvement |
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Distributed and high-availability security deployments - Cloud and hybrid environment security design |
| Governance, Risk and Compliance | 10% | - Policy development and enforcement - Aligning security with regulatory requirements - Risk assessment and management frameworks |
| Security Capability Selection, Placement, and Configuration | 15% | - Optimization and tuning of security components - Architectural placement and integration design - Evaluating and selecting security technologies |
| Security Data Management | 20% | - Enterprise-scale data ingestion and normalization - Data quality, validation, and governance - Data retention, storage, and archiving strategies - Schema design and Common Information Model (CIM) implementation |
| Advanced Automation and Orchestration | 10% | - Designing scalable SOAR architectures - Automation strategy and governance - Integration with enterprise systems and tools |
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NEW QUESTION # 129
What distributed computing model can be used to enable analysis of data closest to the data source for real-time monitoring?
Answer: C
Explanation:
Edge computing enables processing and analysis close to where data is generated. This supports real-time monitoring by reducing latency, limiting unnecessary data movement, and allowing faster local detection or response near the data source.
NEW QUESTION # 130
The growing rate of cyber attacks has led many countries to adopt laws and regulations pertaining to the collection, handling, and security of their citizens' private information regardless of where it is stored. Which of the following terms best describes these laws?
Answer: D
Explanation:
Data sovereignty means data is subject to the laws and governance requirements of the country whose citizens or residents the data relates to, regardless of where that data is stored or processed. This affects architecture decisions for privacy, compliance, access controls, and cross-border data handling.
NEW QUESTION # 131
Brian is a security architect at an organization and wants to test the efficacy of the security controls currently being used. Which of the following is the best way this can be achieved?
Answer: A
Explanation:
A Red vs Purple program is best for testing security control efficacy because adversary-style testing is paired with collaborative analysis and tuning. This helps validate whether existing controls detect, prevent, and support response to realistic attack behaviors while improving defensive coverage.
NEW QUESTION # 132
Which combination of practices and technologies most effectively creates a scalable, secure
"paved road" for cloud-native application development?
Answer: A
Explanation:
A scalable and secure "paved road" relies on reusable, version-controlled architecture patterns, automated policy enforcement, and standardized CI/CD templates with secure defaults. Requiring vault service usage also helps ensure secrets are handled consistently and safely across cloud- native development workflows.
NEW QUESTION # 133
Which Splunk feature allows querying data that resides in a separate, remote Splunk deployment without duplicating ingestion?
Answer: C
Explanation:
Federated Search enables a search head to query indexed data on a separate, remote Splunk deployment (including another cluster or Splunk Cloud) without re-ingesting the data locally.
NEW QUESTION # 134
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