Free Practice Questions for Splunk SPLK-5002 Exam

Risk-based detection in Splunk prioritizes alerts based on behavior, threat intelligence, and business impact. Enhancing risk scores and enriching contextual data ensures that SOC teams focus on the most critical threats.

Methods to Enhance Risk-Based Detection:

Defining Accurate Risk Modifiers (A)

Adjusts risk scores dynamically based on asset value, user behavior, and historical activity.

Ensures that low-priority noise doesn’t overwhelm SOC analysts.

Enriching Risk Objects with Contextual Data (D)

Adds threat intelligence feeds, asset criticality, and user behavior data to alerts.

Improves incident triage and correlation of multiple low-level events into significant threats.

Lean Six Sigma (LSS) is a process improvement methodology used to enhance operational efficiency by reducing waste, eliminating errors, and improving consistency.

Primary Function of Lean Six Sigma in a Security Program:

Improves security operations efficiency by optimizing alert handling, threat hunting, and incident response workflows.

Reduces unnecessary steps in SOC processes, eliminating redundancies in threat detection and response.

Enhances decision-making by using data-driven analysis to improve security metrics and Key Performance Indicators (KPIs).

An audit report provides an overview of security operations, compliance adherence, and past incidents, helping organizations ensure regulatory compliance and improve security posture.

Key Elements of an Audit Report:

Analysis of Past Incidents (A)

Includes details on security breaches, alerts, and investigations.

Helps identify recurring threats and security gaps.

Compliance Metrics (C)

Evaluates adherence to regulatory frameworks (e.g., NIST, ISO 27001, PCI-DSS, GDPR).

Measures risk scores, policy violations, and control effectiveness.

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.

The Splunk REST API allows programmatic access to Splunk’s features, helping automate security workflows in a Security Operations Center (SOC).

Key REST API Actions for Automation:

POST for creating new data entries (A)

Used to send logs, alerts, or notable events to Splunk.

Essential for integrating external security tools with Splunk.

GET for retrieving search results (C)

Fetches logs, alerts, and notable event details programmatically.

Helps automate security monitoring and incident response.

Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.

How to Improve Notable Events Effectiveness:

Apply suppression rules to filter out known false positives and reduce alert fatigue.

Refine correlation searches by adjusting thresholds and tuning event detection logic.

Leverage risk-based alerting (RBA) to prioritize high-risk events.

Use adaptive response actions to enrich events dynamically.

By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable. Thus, the correct answer is A. Applying suppression rules for false positives.

References:

Managing Notable Events in Splunk ES

Best Practices for Tuning Correlation Searches

Using Suppression in Splunk ES