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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Measuring and Improving Security Program Effectiveness | 15% | - Maturity models and capability assessments - Security metrics and KPIs design - Continuous monitoring and improvement processes |
| Topic 3: Advanced Automation and Orchestration | 10% | - Automation strategy and governance - Integration with enterprise systems and tools - Designing scalable SOAR architectures |
| Topic 4: Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Distributed and high-availability security deployments - Cloud and hybrid environment security design |
| Topic 5: Security Capability Selection, Placement, and Configuration | 15% | - Evaluating and selecting security technologies - Architectural placement and integration design - Optimization and tuning of security components |
| Topic 6: Governance, Risk and Compliance | 10% | - Aligning security with regulatory requirements - Policy development and enforcement - Risk assessment and management frameworks |
| Topic 7: Advanced Incident Response and Management | 10% | - Designing incident response frameworks - Orchestrated response workflows - Post-incident activities and continuous improvement |
| Topic 8: Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence lifecycle management - Integrating threat data into security architecture - Advanced threat hunting methodologies |
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NEW QUESTION # 97
When acquiring forensic artifacts, what is a critical step to ensure admissibility in court?
Answer: D
Explanation:
Chain of custody documents who collected, handled, transferred, stored, and analyzed forensic evidence. Maintaining this record helps prove the evidence was preserved properly and not altered, supporting its admissibility in legal proceedings.
NEW QUESTION # 98
An organization is collecting over 700TB of security data per day. What is one strategy they can use to reduce the amount of data that is collected and still let detection engineering run full breadth detections in the SIEM?
Answer: A
Explanation:
Storing only the data elements required for defined detection and security use cases reduces ingestion volume while preserving the fields needed for full-breadth SIEM detections. This approach focuses collection on actionable telemetry rather than retaining unnecessary raw data that increases cost and complexity.
NEW QUESTION # 99
A Cybersecurity Defense Architect must design log ingestion for a cloud-native environment using AWS. Which combination is most appropriate for near real-time ingestion of CloudTrail logs?
Answer: B
Explanation:
The Splunk Add-on for AWS supports SQS-based S3 ingestion, which is the recommended, scalable, near real-time method for ingesting CloudTrail logs delivered to S3 buckets.
NEW QUESTION # 100
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 # 101
A U.S. based company has recently purchased a German company. The U.S. organization is planning to consolidate their customer rewards program globally and begin collecting purchasing information on the German customers to send back to their U.S. data center. Which data privacy law would they violate if they did not update the German End User Agreement?
Answer: B
Explanation:
GDPR applies to personal data of individuals in Germany and the broader European Union.
Collecting German customers' purchasing information and transferring it to a U.S. data center would require appropriate notice, consent or lawful basis, and updated user agreement terms covering the new processing and transfer.
NEW QUESTION # 102
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