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| Section | Weight | Objectives |
|---|---|---|
| Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence lifecycle management - Integrating threat data into security architecture - Advanced threat hunting methodologies |
| Governance, Risk and Compliance | 10% | - Risk assessment and management frameworks - Aligning security with regulatory requirements - Policy development and enforcement |
| Advanced Automation and Orchestration | 10% | - Automation strategy and governance - Designing scalable SOAR architectures - Integration with enterprise systems and tools |
| Advanced Incident Response and Management | 10% | - Post-incident activities and continuous improvement - Designing incident response frameworks - Orchestrated response workflows |
| Security Capability Selection, Placement, and Configuration | 15% | - Architectural placement and integration design - Evaluating and selecting security technologies - Optimization and tuning of security components |
| Measuring and Improving Security Program Effectiveness | 15% | - Continuous monitoring and improvement processes - Maturity models and capability assessments - Security metrics and KPIs design |
| Security Data Management | 20% | - Enterprise-scale data ingestion and normalization - Data retention, storage, and archiving strategies - Schema design and Common Information Model (CIM) implementation - Data quality, validation, and governance |
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Distributed and high-availability security deployments - Cloud and hybrid environment security design |
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NEW QUESTION # 163
A financial institution requires that all security event data is retained in a highly available, tamper-evident state for compliance purposes. Which Splunk architectural feature should the Cybersecurity Defense Architect recommend to ensure data immutability and high availability?
Answer: A
Explanation:
Indexer Clustering ensures high availability by maintaining multiple copies of data across peer nodes. Enabling Data Integrity Control provides a cryptographic mechanism (using hashes) to verify that the data has not been tampered with since it was originally indexed, which is a critical requirement for compliance and forensic investigations.
NEW QUESTION # 164
The security engineering team is in the process of deploying a new PAM solution. How do they ensure the organization is aware of the implementation and is authorized to move forward?
Answer: C
Explanation:
Submitting the PAM deployment to the change control board ensures the implementation is formally reviewed, communicated to affected stakeholders, approved, scheduled, and tracked through the organization's authorized change management process.
NEW QUESTION # 165
Which of the following best describes "detection as code" as a practice relevant to a Cybersecurity Defense Architect?
Answer: B
Explanation:
Detection as code refers to treating detection content (correlation searches, lookups, playbooks) as version-controlled, testable, and deployable artifacts, improving consistency, auditability, and change management.
NEW QUESTION # 166
Which of the following is the most direct way to measure a detection engineering practice to understand what gaps may exist in security controls and program effectiveness?
Answer: D
Explanation:
Measuring security control coverage against industry frameworks and organizational risks is the most direct way to identify detection gaps and assess program effectiveness. It shows whether detections align with expected threat behaviors, business risk, and required security outcomes.
NEW QUESTION # 167
A global enterprise is experiencing severe performance issues on their Splunk Enterprise Security Search Head due to an overwhelming number of distinct Asset and Identity lookups being performed simultaneously. What is the BEST architectural recommendation to resolve this performance issue?
Answer: A
Explanation:
For very large environments, massive CSV lookups can heavily degrade Search Head performance due to memory and I/O constraints. Consolidating the lists and migrating the Asset and Identity collections to the KV Store greatly improves lookup performance, search efficiency, and resource utilization in Splunk ES.
NEW QUESTION # 168
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