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| Section | Weight | Objectives |
|---|---|---|
| Security Data Management | 20% | - Schema design and Common Information Model (CIM) implementation - Data quality, validation, and governance - Data retention, storage, and archiving strategies - Enterprise-scale data ingestion and normalization |
| Advanced Automation and Orchestration | 10% | - Integration with enterprise systems and tools - Automation strategy and governance - Designing scalable SOAR architectures |
| Governance, Risk and Compliance | 10% | - Risk assessment and management frameworks - Policy development and enforcement - Aligning security with regulatory requirements |
| Advanced Threat Intelligence and Analysis | 5% | - Advanced threat hunting methodologies - Threat intelligence lifecycle management - Integrating threat data into security architecture |
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Distributed and high-availability security deployments - Security in software development lifecycle - Cloud and hybrid environment security design |
| Advanced Incident Response and Management | 10% | - Designing incident response frameworks - Post-incident activities and continuous improvement - Orchestrated response workflows |
| Measuring and Improving Security Program Effectiveness | 15% | - Continuous monitoring and improvement processes - Maturity models and capability assessments - Security metrics and KPIs design |
| Security Capability Selection, Placement, and Configuration | 15% | - Architectural placement and integration design - Evaluating and selecting security technologies - Optimization and tuning of security components |
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NEW QUESTION # 162
An architecture review reveals that sensitive HR data and SOC security logs are being stored in the same Splunk index, posing a risk of unauthorized access. What is the BEST approach to enforce strict least-privilege data access?
Answer: D
Explanation:
The most robust and secure way to segregate data and enforce least privilege in Splunk is to route distinct data types (based on sensitivity or data ownership) into separate indexes. Role-Based Access Control (RBAC) can then be applied via Splunk Roles to ensure that users only have access to the indexes they are authorized to view (e.g., HR personnel get access to the HR index, SOC analysts to the security indexes).
NEW QUESTION # 163
Which of the following are benefits of implementing Ingest Actions (formerly Ingest Actions/Edge Processor) in a Splunk architecture? (Choose all that apply.)
Answer: A,B,C
Explanation:
Ingest Actions/Edge Processor allow filtering, masking, and routing of data prior to indexing to control cost and compliance; they do not generate correlation searches, which is a separate ES/detection engineering task.
NEW QUESTION # 164
To ensure leadership is aware of the security team's performance, which measurements should be presented on a regular basis? (Choose all that apply.)
Answer: B,C,D
Explanation:
Security leadership should regularly receive performance measurements that show how effectively the team reduces risk and handles incidents. Patch compliance percentage reflects vulnerability management effectiveness, while mean time to contain and mean time to respond measure the speed and efficiency of incident response operations.
NEW QUESTION # 165
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: A,B
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 # 166
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: A
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 # 167
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