Which of the following is a use case for Service Monitoring that focuses on filtering and reducing noise?

• A. Event Analytics
• B. Service Insights
• C. Network Analytics
• D. Security Analytics

Answer: (A)

Filtering and reducing noise in service monitoring means turning a flood of events into actionable signals so engineers can focus on real issues. Event Analytics is the best match because it’s built to sift through event data, remove duplicates, correlate related events across services, and surface the meaningful problems that require attention. This approach helps cut alert fatigue and speeds up triage by highlighting patterns, anomalies, and root causes rather than showing every raw event. While network analytics, security analytics, or general service insights address important areas, they aren’t specifically focused on filtering the noise in event streams or prioritizing the signal for service monitoring.