Splunk SPLK-5002 Exam With Confidence Using Practice Dumps

Security metrics help organizations assess their security posture and make data-driven decisions.

Primary Purpose of Security Metrics in Splunk:

Measure Security Effectiveness (B)

Tracks incident response times, threat detection rates, and alert accuracy.

Helps SOC teams and leadership evaluate security program performance.

Improve Threat Detection & Incident Response

Identifies gaps in detection logic and false positives.

Helps fine-tune correlation searches and notable events.

The GET method in the Splunk REST API is used to retrieve data from a Splunk index. It allows users and automated scripts to fetch logs, alerts, or query results programmatically.

Key Points About GET in Splunk API:

Used for searching and retrieving logs from indexes.

Can be used to get search results, job status, and Splunk configuration details.

Common API endpoints include:

/services/search/jobs/{search_id}/results– Retrieves results of a completed search.

/services/search/jobs/export– Exports search results in real-time.

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