How does NPM relate IP SLA, NetPath, and NetFlow data to identify root causes?

How does NPM relate IP SLA, NetPath, and NetFlow data to identify root causes?

• A. By cross-referencing latency, path changes, and traffic shifts, NPM correlates events to reveal whether delay is due to a link, device, or congested interface.
• B. It uses only IP SLA metrics for correlation.
• C. It uses NetFlow data for correlation only.
• D. It does not perform data correlation.

Answer: (A)

NPM can pinpoint root causes by combining three data sources to create a complete picture of where a problem lies. IP SLA provides end-to-end performance metrics like latency and jitter between monitoring points, showing when delays occur. NetPath maps the actual route and shows hop-by-hop performance, including any path changes or flaps that coincide with the delay. NetFlow adds context about traffic patterns—who is talking to whom, how much bandwidth is used, and on which interfaces. When a latency spike happens, you compare these signals together: if the path stays the same but traffic on a link spikes, congestion on that link is likely the cause; if the path changes at the same time as the spike, routing changes or a new hop might be involved; if latency rises without traffic surges or path changes, the issue may be at a device’s processing or a congested interface. By cross-referencing latency, path changes, and traffic shifts, NPM determines whether the delay is due to a link, a device, or congestion. Relying on a single data source misses this context, and using NetFlow alone or IP SLA alone won’t provide the full root-cause story.

NPM can pinpoint root causes by combining three data sources to create a complete picture of where a problem lies. IP SLA provides end-to-end performance metrics like latency and jitter between monitoring points, showing when delays occur. NetPath maps the actual route and shows hop-by-hop performance, including any path changes or flaps that coincide with the delay. NetFlow adds context about traffic patterns—who is talking to whom, how much bandwidth is used, and on which interfaces. When a latency spike happens, you compare these signals together: if the path stays the same but traffic on a link spikes, congestion on that link is likely the cause; if the path changes at the same time as the spike, routing changes or a new hop might be involved; if latency rises without traffic surges or path changes, the issue may be at a device’s processing or a congested interface. By cross-referencing latency, path changes, and traffic shifts, NPM determines whether the delay is due to a link, a device, or congestion. Relying on a single data source misses this context, and using NetFlow alone or IP SLA alone won’t provide the full root-cause story.