Outline a structured troubleshooting approach in NPM for a latency spike.

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Multiple Choice

Outline a structured troubleshooting approach in NPM for a latency spike.

Explanation:
Start with a data-driven, multi-layer diagnostic process that uses the tools and data you already have in NPM to pinpoint where latency is actually coming from. Establish the scope first—confirm when the spike occurs, which paths and devices are involved, and which users or services are impacted. Use NetPath to trace the route and spot where delays appear along the path. Look at IP SLA results to quantify latency, jitter, and packet loss from synthetic tests, which helps separate real network issues from application or measurement artifacts. Verify interface utilization on the likely devices to see if congestion or sudden traffic bursts are the bottleneck. Review recent Changes or Deployments to catch anything that might have introduced latency, then inspect poller health to ensure NPM is collecting fresh data and not masking problems with stale information. Analyze NetFlow data for traffic patterns or anomalies that could indicate congestion, misrouting, or unusual traffic mixes. Correlate alerts across the environment to build a cohesive picture of the root cause rather than chasing scattered symptoms, and implement targeted remediation based on what the evidence shows, such as adjusting QoS, rerouting, capacity upgrades, or configuration fixes. This structured approach is effective because it relies on concrete measurements, cross-checks across related data sources, and coordinated actions rather than guesswork or broad, disruptive steps.

Start with a data-driven, multi-layer diagnostic process that uses the tools and data you already have in NPM to pinpoint where latency is actually coming from. Establish the scope first—confirm when the spike occurs, which paths and devices are involved, and which users or services are impacted. Use NetPath to trace the route and spot where delays appear along the path. Look at IP SLA results to quantify latency, jitter, and packet loss from synthetic tests, which helps separate real network issues from application or measurement artifacts. Verify interface utilization on the likely devices to see if congestion or sudden traffic bursts are the bottleneck. Review recent Changes or Deployments to catch anything that might have introduced latency, then inspect poller health to ensure NPM is collecting fresh data and not masking problems with stale information. Analyze NetFlow data for traffic patterns or anomalies that could indicate congestion, misrouting, or unusual traffic mixes. Correlate alerts across the environment to build a cohesive picture of the root cause rather than chasing scattered symptoms, and implement targeted remediation based on what the evidence shows, such as adjusting QoS, rerouting, capacity upgrades, or configuration fixes. This structured approach is effective because it relies on concrete measurements, cross-checks across related data sources, and coordinated actions rather than guesswork or broad, disruptive steps.

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