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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk and Compliance | 10% | - Policy development and enforcement - Aligning security with regulatory requirements - Risk assessment and management frameworks |
| Measuring and Improving Security Program Effectiveness | 15% | - Continuous monitoring and improvement processes - Maturity models and capability assessments - Security metrics and KPIs design |
| Advanced Incident Response and Management | 10% | - Orchestrated response workflows - Designing incident response frameworks - Post-incident activities and continuous improvement |
| 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 |
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Distributed and high-availability security deployments - Security in software development lifecycle - Cloud and hybrid environment security design |
| Advanced Threat Intelligence and Analysis | 5% | - Advanced threat hunting methodologies - Integrating threat data into security architecture - Threat intelligence lifecycle management |
| Advanced Automation and Orchestration | 10% | - Designing scalable SOAR architectures - Integration with enterprise systems and tools - Automation strategy and governance |
| Security Capability Selection, Placement, and Configuration | 15% | - Architectural placement and integration design - Optimization and tuning of security components - Evaluating and selecting security technologies |
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NEW QUESTION # 55
Samuel is a security architect working for a retail firm based in France. The firm is building a software product to track, store, and analyze clicks on their website. It intends to use this data for developing advertising tailored to each user to offer promotional items. Samuel is responsible for making sure the software meets the firm's compliance requirements. What feature must Samuel ensure is included?
Answer: B
Explanation:
Because the firm is based in France and is collecting user behavior data for personalized advertising, GDPR requirements apply. The software must support data subject rights, including the ability for users to request deletion of their personal data.
NEW QUESTION # 56
Kevin, a security architect, is planning a long-term retention strategy for security logs (e.g.7+ years) for compliance and forensic purposes. Which storage solutions are cost-effective for this requirement and still allow future access? (Choose all that apply.)
Answer: B,D
Explanation:
Cloud object storage with infrequent access is cost-effective for long-term log retention because it supports durable, low-cost storage while preserving future retrieval capability. A SAN with cold storage tiers can also support long retention by moving rarely accessed security logs to lower- cost storage while keeping them available for compliance review or forensic investigation.
NEW QUESTION # 57
Danielle is a security architect at a multinational retail company. She is evaluating threat intelligence feeds to add to her company's security monitoring program. What is the primary benefit that threat intelligence data can provide?
Answer: A
Explanation:
Threat intelligence data adds external context to detection content by identifying known malicious indicators, adversary tactics, infrastructure, malware, and campaign details. This helps security monitoring distinguish higher-risk activity, prioritize investigations, and create more actionable detections.
NEW QUESTION # 58
Where should high value, low volume data be stored for searching (i.e. alerts generated by security tools)?
Answer: B
Explanation:
High-value, low-volume security data such as alerts should be stored in a high-speed query platform so analysts can search, correlate, and investigate it quickly. This type of data is highly actionable and often needed immediately during triage and incident response.
NEW QUESTION # 59
Which of the following are valid use cases for the MLTK (Machine Learning Toolkit) in a security context? (Choose all that apply.)
Answer: A,C,D
Explanation:
MLTK supports anomaly detection, predictive analytics (e.g., forecasting), and clustering algorithms applicable to security data; it does not autonomously write SPL queries, which remains a manual/analyst task.
NEW QUESTION # 60
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