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| Section | Weight | Objectives |
|---|---|---|
| Security Data Management | 20% | - Data quality, validation, and governance - Enterprise-scale data ingestion and normalization - Data retention, storage, and archiving strategies - Schema design and Common Information Model (CIM) implementation |
| Advanced Threat Intelligence and Analysis | 5% | - Integrating threat data into security architecture - Threat intelligence lifecycle management - Advanced threat hunting methodologies |
| Security Capability Selection, Placement, and Configuration | 15% | - Optimization and tuning of security components - Architectural placement and integration design - Evaluating and selecting security technologies |
| Advanced Incident Response and Management | 10% | - Designing incident response frameworks - Orchestrated response workflows - Post-incident activities and continuous improvement |
| 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 |
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Distributed and high-availability security deployments - Cloud and hybrid environment security design - Security in software development lifecycle |
| Advanced Automation and Orchestration | 10% | - Automation strategy and governance - Integration with enterprise systems and tools - Designing scalable SOAR architectures |
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NEW QUESTION # 142
How can an organization's identity and access management (IAM) architecture enable security orchestration?
Answer: B
Explanation:
IAM architecture enables security orchestration by allowing automated response actions with controlled, granular permissions. This lets SOAR workflows safely disable accounts, reset passwords, revoke sessions, or modify privileges during an investigation or containment process.
NEW QUESTION # 143
Sebastian is an incident responder encountering friction when coordinating and communicating with business units outside of his organization on large-scale incidents. What should he ensure is in place first to enable more seamless incident communications in the future?
Answer: B
Explanation:
A formal incident communication plan establishes who must be contacted, how updates should be shared, which channels should be used, and who owns communication with each business unit. Having named points of contact in advance reduces coordination friction during large-scale incidents and enables faster, clearer communication.
NEW QUESTION # 144
The SOC team has received an alert for suspicious activity on a device assigned to a finance team member. The alert indicates that an unusual executable file was launched and several outbound connections were attempted to an external IP address. Which of the following is considered a "high-signal" data source due to its visibility into devices and ability to detect suspicious activity?
Answer: C
Explanation:
EDR process execution telemetry is high-signal because it provides detailed endpoint visibility into executable launches, process behavior, parent-child relationships, file metadata, hashes, and related network activity. This makes it especially useful for detecting and investigating suspicious activity on a specific user device.
NEW QUESTION # 145
An organization has decided to implement a new endpoint security product. The CISO has concerns about the rollout due to the nature of the varied endpoint builds and installed applications. After initial testing in lab has shown no issues, what next step should the architect perform to ensure the success of their rollout?
Answer: A
Explanation:
After lab testing, the architect should run a controlled pilot across representative endpoint groups.
Testing with subsets of users from each major build and application profile helps identify compatibility, performance, and operational issues before broad deployment, improving rollout success while limiting risk.
NEW QUESTION # 146
Which of the following is a key benefit of including machine learning as part of an organization's security detection capabilities?
Answer: D
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 # 147
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