The architecture forDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)specifies that ThousandEyes WAN Insights relies on deep integration with the Cisco SD-WAN management stack. To generate its predictive path recommendations, the platform must ingest specific telemetry data that reflects both the network's behavior and the applications traversing it.
The first essential data source ishistorical network performance metrics collected by vAnalytics(Option B). Before WAN Insights can be activated, vAnalytics must be enabled to collect and enrich raw network telemetry from the edge routers.34This data includes granular metrics for every SD-WAN tunnel, such as packet loss, latency, and jitter.35WAN Insights analyzes these historical trends to forecast future path quality and determine which transport circuits are most likely to meet application SLAs over a long-term period.
The second essential data source isapplication traffic flow data(Option D). WAN Insights must understand which applications are currently active in the fabric to prioritize recommendations for "business-critical" services like Office 365, Webex, or custom internal apps.38This information is ingested as flow records from the SD-WAN data plane and categorized based on theApplication Listsdefined inCisco Catalyst SD-WAN Manager (vManage).
Options A and E are configuration or logging data that, while useful for general management, are not the raw telemetry inputs used by the WAN Insights predictive engine. Option C is incorrect because WAN Insights explicitly uses infrastructure telemetry rather than ThousandEyes agent-based synthetic data for its SD-WAN fabric calculations. By combiningvAnalytics performance metricsandapplication flow data, WAN Insights can provide the "Predictive Path Recommendatio41ns" that are a hallmark of modern network assurance.
