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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 Automation and Orchestration | 10% | - Integration with enterprise systems and tools - Automation strategy and governance - Designing scalable SOAR architectures |
| 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 quality, validation, and governance - Data retention, storage, and archiving strategies - Schema design and Common Information Model (CIM) implementation |
| Governance, Risk and Compliance | 10% | - Risk assessment and management frameworks - Policy development and enforcement - Aligning security with regulatory requirements |
| Advanced Incident Response and Management | 10% | - Designing incident response frameworks - Post-incident activities and continuous improvement - Orchestrated response workflows |
| Security Capability Selection, Placement, and Configuration | 15% | - Optimization and tuning of security components - Evaluating and selecting security technologies - Architectural placement and integration design |
| Advanced Threat Intelligence and Analysis | 5% | - Integrating threat data into security architecture - Threat intelligence lifecycle management - Advanced threat hunting methodologies |
>> New SPLK-5003 Practice Questions <<
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NEW QUESTION # 122
Which Splunk component is responsible for correlating events into notable events within Enterprise Security?
Answer: A
Explanation:
Correlation searches run scheduled or real-time searches against indexed or accelerated data and generate notable events when the defined conditions are met, forming the core detection mechanism in ES.
NEW QUESTION # 123
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 # 124
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: C
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 # 125
A member of the detection engineering team is collecting data points pertaining to true positive and false positive rates of detections. Which of the following practices will help refine detections?
Answer: B
Explanation:
Continuous Process Improvement helps refine detections by using measured outcomes such as true positive and false positive rates to repeatedly tune logic, reduce noise, improve accuracy, and keep detection content aligned with changing threats and environments.
NEW QUESTION # 126
What type of data does OpenTelemetry provide that the security team can use during an investigation?
Answer: C
Explanation:
OpenTelemetry provides traces that show how requests move through applications, services, APIs, and infrastructure components. During an investigation, these traces help security teams understand execution paths, service interactions, timing, and where suspicious or abnormal behavior occurred.
NEW QUESTION # 127
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