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| Section | Weight | Objectives |
|---|---|---|
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Distributed and high-availability security deployments - Cloud and hybrid environment security design |
| Advanced Incident Response and Management | 10% | - Orchestrated response workflows - Designing incident response frameworks - Post-incident activities and continuous improvement |
| Measuring and Improving Security Program Effectiveness | 15% | - Continuous monitoring and improvement processes - Security metrics and KPIs design - Maturity models and capability assessments |
| Advanced Automation and Orchestration | 10% | - Automation strategy and governance - Integration with enterprise systems and tools - Designing scalable SOAR architectures |
| Advanced Threat Intelligence and Analysis | 5% | - Advanced threat hunting methodologies - Threat intelligence lifecycle management - Integrating threat data into security architecture |
| Security Data Management | 20% | - Schema design and Common Information Model (CIM) implementation - Data retention, storage, and archiving strategies - Enterprise-scale data ingestion and normalization - Data quality, validation, and governance |
| Security Capability Selection, Placement, and Configuration | 15% | - Architectural placement and integration design - Evaluating and selecting security technologies - Optimization and tuning of security components |
| Governance, Risk and Compliance | 10% | - Risk assessment and management frameworks - Policy development and enforcement - Aligning security with regulatory requirements |
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NEW QUESTION # 45
Which of the following is a key benefit of including machine learning as part of an organization's security detection capabilities?
Answer: C
Explanation:
Machine learning is especially useful for detecting anomalies in large volumes of security data where static rules may miss unusual behavior. It can identify deviations from normal patterns across users, systems, and network activity, helping surface suspicious events that may require investigation.
NEW QUESTION # 46
Camille is building the high-level architecture and organizational requirements for a SOC modernization and automation initiative. The organization would like to use Splunk SOAR as the foundation of its new vision and strategy. What are some of the primary objectives this initiative should seek to achieve?
Answer: C
Explanation:
A SOC modernization and automation initiative using Splunk SOAR should aim to detect and respond faster, reduce repetitive manual work, and lower analyst fatigue. Automating enrichment, triage, containment, and case workflows helps reduce both detection and response times while improving analyst productivity.
NEW QUESTION # 47
An architect is designing controls for an application about to go to production. The architect implemented code scanning early in the pipeline. Now they are looking for a tool that will provide a blackbox analysis of the application at runtime. Which of the following tool types would fit this need?
Answer: A
Explanation:
A Dynamic Application Security Tool performs blackbox testing against a running application. It analyzes runtime behavior from the outside, helping identify vulnerabilities that appear during execution, such as authentication issues, injection flaws, misconfigurations, and exposed application weaknesses.
NEW QUESTION # 48
Which of the following are valid considerations when prioritizing data source onboarding for a SIEM? (Choose all that apply.)
Answer: A,B,C
Explanation:
Data source onboarding should be prioritized based on relevance to threat scenarios, licensing/ingestion cost impact, and closing detection coverage gaps -- not on vendor popularity, which is not a security-relevant criterion.
NEW QUESTION # 49
In a DevSecOps workflow, what is the primary purpose of an automated security gate that detects critical vulnerabilities during a build or deployment?
Answer: A
Explanation:
An automated security gate enforces defined security standards during the build or deployment pipeline. When critical vulnerabilities are detected, it automatically blocks the release so insecure code is not promoted to production.
NEW QUESTION # 50
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