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| Section | Weight | Objectives |
|---|---|---|
| Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Data Engineering | 10% | - Data parsing, normalization, and CIM alignment - Data ingestion and onboarding - Indexing performance and management |
| Detection Engineering | 40% | - Notable event generation and lifecycle management - Detection enrichment with context and risk-based alerting - Creation and tuning of detections (Correlation Searches) |
| Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
>> Valid SPLK-5002 Exam Objectives <<
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NEW QUESTION # 82
What should a security engineer prioritize when building a new security process?
Answer: C
Explanation:
A new security process should first be designed so that it satisfies the organization ' s governance, regulatory, policy, and compliance obligations . Among the available choices, this makes ensuring alignment with compliance requirements the strongest priority.
Security processes should establish repeatable controls, responsibilities, escalation paths, evidence requirements, and measurable outcomes. Compliance alignment helps ensure that required activities-such as access reviews, incident handling, audit logging, retention, vulnerability management, and reporting-are performed consistently and can be demonstrated during an assessment or audit. The broader course material similarly emphasizes contextual business requirements, standardized operating procedures, security-program measurement, and documented response workflows.
Integrating with legacy systems may be necessary, but architecture compatibility is subordinate to the process
' s security and governance objectives. Automating all workflows is also inappropriate: automation should be applied selectively where actions are deterministic, safe, and governed by appropriate controls. Reducing headcount is not a security-process design objective and can actually weaken operational resilience if treated as the primary goal.
The supplied PDF does not contain this exact stem, but its process-development themes support governance- driven, standardized security operations.
Study Guide topics: security process design, governance, compliance, SOPs, control effectiveness, program maturity.
NEW QUESTION # 83
An engineer creates a new event type. What defines the association of this event type to an applicable data model?
Answer: C
Explanation:
In Splunk, an event type is associated with a CIM data model through its tag(s). Tags determine which events qualify for inclusion in a specific data model, enabling normalization and alignment with CIM for consistent detections and reporting.
NEW QUESTION # 84
Which actions can optimize case management in Splunk?(Choosetwo)
Answer: A,B
Explanation:
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.
NEW QUESTION # 85
If a correlation search cannot be run at the configured time, which scheduling option should an engineer use to ensure there are no backfill gaps in data?
Answer: A
Explanation:
The Continuous scheduling option ensures that if a correlation search is delayed or cannot run at its scheduled time, Splunk will still execute it later and cover the missed time range. This prevents backfill gaps in data and ensures no events are overlooked.
NEW QUESTION # 86
What elements are critical for developing meaningful security metrics? (Choose three)
Answer: A,C,E
Explanation:
Key Elements of Meaningful Security Metrics
Security metrics shouldalign with business goals, be validated regularly, and have standardized definitionsto ensure reliability.
#1. Relevance to Business Objectives (A)
Security metrics should tie directly tobusiness risks and priorities.
Example:
A financial institution might trackfraud detection ratesinstead of genericmalware alerts.
#2. Regular Data Validation (B)
Ensures data accuracy byremoving false positives, duplicates, and errors.
Example:
Validatingphishing alert effectivenessby cross-checking withuser-reported emails.
#3. Consistent Definitions for Key Terms (E)
Standardized definitions preventmisinterpretation of security metrics.
Example:
Clearly definingMTTD (Mean Time to Detect) vs. MTTR (Mean Time to Respond).
#Incorrect Answers:
C: Visual representation through dashboards# Dashboards help, butdata quality matters more.
D: Avoiding integration with third-party tools# Integrations withSIEM, SOAR, EDR, and firewallsarecrucial for effective metrics.
#Additional Resources:
NIST Security Metrics Framework
Splunk
NEW QUESTION # 87
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