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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security in software development lifecycle - Cloud and hybrid environment security design - Distributed and high-availability security deployments |
| Topic 2: Security Data Management | 20% | - Enterprise-scale data ingestion and normalization - Data quality, validation, and governance - Data retention, storage, and archiving strategies - Schema design and Common Information Model (CIM) implementation |
| Topic 3: Security Capability Selection, Placement, and Configuration | 15% | - Optimization and tuning of security components - Architectural placement and integration design - Evaluating and selecting security technologies |
| Topic 4: Advanced Threat Intelligence and Analysis | 5% | - Integrating threat data into security architecture - Advanced threat hunting methodologies - Threat intelligence lifecycle management |
| Topic 5: Advanced Incident Response and Management | 10% | - Post-incident activities and continuous improvement - Designing incident response frameworks - Orchestrated response workflows |
| Topic 6: Advanced Automation and Orchestration | 10% | - Integration with enterprise systems and tools - Automation strategy and governance - Designing scalable SOAR architectures |
| Topic 7: Measuring and Improving Security Program Effectiveness | 15% | - Maturity models and capability assessments - Continuous monitoring and improvement processes - Security metrics and KPIs design |
| Topic 8: Governance, Risk and Compliance | 10% | - Aligning security with regulatory requirements - Policy development and enforcement - Risk assessment and management frameworks |
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NEW QUESTION # 37
A security architect is tasked with implementing new security controls in a cloud environment. To minimize operational risk, the architect decides to use a phase-based rollout strategy.
The approach involves the following steps:
- Deploy the controls in "monitoring-only" mode on a canary system to observe for any unexpected behavior.
- Expand the monitoring deployment to a small subset of production systems.
- After validating the results and ensuring minimal impact, gradually enable the controls in blocking/enforcement mode, first on the canary, then the subset, and finally on all systems.
Which of the following best describes the main advantage of this phased, monitoring-first deployment strategy?
Answer: A
Explanation:
A phased, monitoring-first rollout reduces operational risk by exposing unexpected behavior, false positives, performance issues, or business impact before enforcement is broadly enabled.
Starting with a canary and gradually expanding deployment gives the team time to tune controls and resolve issues in a controlled manner.
NEW QUESTION # 38
Of the following options, which is the best approach to implementing an effective business continuity plan?
Answer: B
Explanation:
An effective business continuity plan must define clear recovery objectives, such as acceptable downtime and data loss, and be tested regularly to confirm it works during real disruptions.
Regular testing also helps identify gaps before an actual incident occurs.
NEW QUESTION # 39
Buttercup Games is an organization which allows employees to bring their own devices. The organization does not mandate VPN or MDM usage to access company resources. How will this architecture impact security operations? (Choose all that apply.)
Answer: A,C
Explanation:
Without mandatory VPN or MDM, the organization has limited control and visibility over personal devices accessing company resources. This can make eDiscovery and legal hold difficult because corporate data may reside on unmanaged endpoints, and security monitoring will be constrained mainly to company-managed assets and server-side/cloud logs rather than full client- device telemetry.
NEW QUESTION # 40
Sophia manages data ingestion for her organization's SIEM. The data science team wants to perform real-time analytics on security data and asks Sophia for a copy of all new endpoint telemetry from the current point forward. The SIEM currently collects 15TB of endpoint telemetry every day. Which of the following solutions can Sophia use to best help the data science team?
Answer: A
Explanation:
A message bus is the best solution because it enables endpoint telemetry to be streamed from the point of collection to multiple consumers in real time. This supports both SIEM ingestion and the data science team's analytics needs without relying on large historical exports, delayed batch reports, or inefficient nightly file generation for 15TB of daily telemetry.
NEW QUESTION # 41
What are the benefits of having data in a normalized schema? (Choose all that apply.)
Answer: A,C,D
Explanation:
A normalized schema provides consistent field names across different data sources, making searches and detections easier to write and maintain. It also supports efficient summarization and acceleration because events follow a predictable structure that can be reused across analytics, dashboards, and detection content.
NEW QUESTION # 42
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