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| Section | Weight | Objectives |
|---|---|---|
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Cloud and hybrid environment security design - Distributed and high-availability security deployments |
| 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 |
| Advanced Incident Response and Management | 10% | - Orchestrated response workflows - Designing incident response frameworks - Post-incident activities and continuous improvement |
| Security Capability Selection, Placement, and Configuration | 15% | - Optimization and tuning of security components - Architectural placement and integration design - Evaluating and selecting security technologies |
| Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence lifecycle management - Advanced threat hunting methodologies - Integrating threat data into security architecture |
| Governance, Risk and Compliance | 10% | - Risk assessment and management frameworks - Aligning security with regulatory requirements - Policy development and enforcement |
| Measuring and Improving Security Program Effectiveness | 15% | - Security metrics and KPIs design - Continuous monitoring and improvement processes - Maturity models and capability assessments |
| Advanced Automation and Orchestration | 10% | - Integration with enterprise systems and tools - Designing scalable SOAR architectures - Automation strategy and governance |
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NEW QUESTION # 113
Buttercup games has implemented over 100 detections in their SOC. These detections consist mostly of vendor provided signatures and field matching that have been tuned, with a few that have been custom built. What more advanced detection methods should they deploy?
Answer: B
Explanation:
An outlier-based algorithm is a more advanced detection method because it uses behavioral or statistical analysis to identify activity that deviates from expected patterns. This moves beyond tuned signatures and field matching into anomaly-based detection, which can help uncover unknown or subtle threats.
NEW QUESTION # 114
Which of the following is the most appropriate metric to track SOC analyst efficiency over time?
Answer: A
Explanation:
Mean time to respond is a direct measure of how quickly the SOC acts on detected incidents, making it a core efficiency metric, unlike infrastructure-related counts that don't reflect analyst performance.
NEW QUESTION # 115
Which of the following degrades a security team's Mean Time to Detect (MTTD) metrics?
Answer: B
Explanation:
Scheduling detections to run only once every hour can delay when suspicious activity is identified, increasing Mean Time to Detect. More frequent or streaming detections reduce detection latency and help analysts discover threats sooner.
NEW QUESTION # 116
An organization is migrating from their current firewalls to a next generation firewall system. As they begin to collect telemetry from their new firewalls, which of the following methods will ensure continuity of existing detections?
Answer: A
Explanation:
Data normalization preserves detection continuity by mapping telemetry from the new firewall system into the same common field names and event structure used by existing detections. This allows searches, correlation rules, dashboards, and analytics to continue working even when the underlying firewall vendor or log format changes.
NEW QUESTION # 117
Buttercup Games is an organization which allows employees to bring their own devices. The organization does not mandate VPN or MDM usage to access company resources. How will this architecture impact security operations? (Choose all that apply.)
Answer: B,D
Explanation:
Without mandatory VPN or MDM, the organization has limited control and visibility over personal devices accessing company resources. This can make eDiscovery and legal hold difficult because corporate data may reside on unmanaged endpoints, and security monitoring will be constrained mainly to company-managed assets and server-side/cloud logs rather than full client- device telemetry.
NEW QUESTION # 118
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