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| Section | Weight | Objectives |
|---|---|---|
| Security Data Management | 20% | - Data architecture design
|
| Governance, Risk and Compliance | 10% | - Security governance
|
| Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence architecture
|
| Advanced Incident Response and Management | 10% | - Incident response architecture
|
| Measuring and Improving Security Program Effectiveness | 15% | - Security metrics and performance
|
| Advanced Automation and Orchestration | 10% | - SOAR architecture
|
| Security Capability Selection, Placement and Configuration | 15% | - Security control architecture
|
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security architecture at scale
|
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NEW QUESTION # 26
Buttercup Games needs to provide its SOC team access to a wide range of security data sources located across different regions and cloud providers. Which architectural solution allows the SOC analysts to query these data sources as a single logical source without having to migrate or copy all the raw data?
Answer: D
Explanation:
Federated search allows analysts to query data across distributed regions, environments, and cloud providers as though it were a single logical source. It avoids the need to migrate or duplicate all raw data into one central platform while still supporting investigation and search across multiple locations.
NEW QUESTION # 27
Which of the following are components of the Splunk ES Asset and Identity framework? (Choose all that apply.)
Answer: A,B,D
Explanation:
The Asset and Identity framework relies on asset, identity, and category lookups to enrich events with contextual information about hosts and users; notable event review is a separate ES workflow feature, not part of this framework.
NEW QUESTION # 28
A security architect is designing a Splunk deployment that must support 90 days of searchable retention for 15TB/day of ingestion while minimizing storage costs. Which architecture component should be prioritized in the design?
Answer: C
Explanation:
SmartStore decouples compute from storage by caching only recently accessed data locally while storing the bulk of indexed data in cost-efficient remote object storage (e.g., S3), making it the most effective way to support large daily ingestion volumes with long retention at lower cost.
NEW QUESTION # 29
Which of the following is the first step in developing an effective integration strategy for diverse security data sources in a security operations center (SOC)?
Answer: A
Explanation:
An effective integration strategy should start by defining the security use cases and operational requirements the data must support. This ensures data onboarding is driven by detection, investigation, compliance, response, and reporting needs rather than collecting logs without a clear purpose.
NEW QUESTION # 30
A global enterprise is experiencing severe performance issues on their Splunk Enterprise Security Search Head due to an overwhelming number of distinct Asset and Identity lookups being performed simultaneously. What is the BEST architectural recommendation to resolve this performance issue?
Answer: D
Explanation:
For very large environments, massive CSV lookups can heavily degrade Search Head performance due to memory and I/O constraints. Consolidating the lists and migrating the Asset and Identity collections to the KV Store greatly improves lookup performance, search efficiency, and resource utilization in Splunk ES.
NEW QUESTION # 31
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