Passed Exam Today 300-445

The architecture for Designing 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 is historical 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. 34 This data includes granular metrics for every SD-WAN tunnel, such as packet loss, latency, and jitter. 35 WAN 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 is application 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. 38 This information is ingested as flow records from the SD-WAN data plane and categorized based on the Application Lists defined in Cisco 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 combining vAnalytics performance metrics and application flow data , WAN Insights can provide the " Predictive Path Recommendatio 41 ns " that are a hallmark of modern network assurance.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, troubleshooting endpoint connectivity requires a systematic analysis of local device logs and network environment changes. According to the log message provided in Exhibit there was a specific timeout error when the agent attempted to reach the ThousandEyes backend. The logs explicitly state: Request to: wss://c1.eb.thousandeyes.com/relay/connect timed out: 12002: The operation timed out.

Since the endpoint was relocated to a new network utilizing static IP assignment , and other endpoints on the same network are functioning correctly, the issue is highly localized to this specific device ' s configuration. In a static IP environment, human error during the manual entry of the IP address, subnet mask, default gateway, or DNS server is a common root cause of connectivity failure. If the gateway is incorrect, the agent cannot reach the internet; if the DNS is incorrect, it cannot resolve c1.eb.thousandeyes.com. Therefore, the best way to bring the endpoint online is to verify the accuracy of the IP settings and test direct connectivity to the ThousandEyes relay URL.

The alternative options do not address the technical evidence found in the logs:

Option A: Moving the device back is a regressive step that does not resolve the need for the device to function in its new location.

Option B: Reinstalling software is a " brute force " method that rarely fixes underlying network-layer misconfigurations like an incorrect static IP.

Option C: A timeout error (12002) indicates a persistent connectivity blockage that will not resolve itself without administrative intervention.

Checking the static IP credentials ensures the device has a valid path to the internet to establish its secure websocket (WSS) connection to the ThousandEyes platform.