Cisco 300-445 Exam Dumps

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) architecture, a critical challenge in active synthetic monitoring is ensuring that test probes accurately reflect user traffic without being dropped by intermediate security appliances. Standard network tests often utilize separate connections for measuring performance metrics (latency/loss) and for path discovery (hop-by-hop visualization). This behavior can be flagged by stateful firewalls or Intrusion Prevention Systems (IPS) as suspicious or malicious scanning activity.

To mitigate this, the engineer should enable Path Trace Mode: In Session (Option A). When this mode is active, ThousandEyes performs path discovery using the exact same TCP session established for the performance measurement. By embedding path discovery probes within an active, established session, the traffic appears to firewalls as part of a legitimate, ongoing communication stream rather than an independent series of probes with varying TTL values that might trigger 'anti-spoofing' or 'scanning' alerts.

Reviewing the alternative options:

Protocol: TCP (Option B): While using TCP is generally more firewall-friendly than ICMP, the exhibit shows TCP is already selected. The issue is not the protocol itself, but how the path discovery probes are handled relative to the session.

Port: 5000 (Option C): Changing the port to a non-standard value like 5000 often makes traffic more likely to be scrutinized or blocked by default firewall policies compared to standard web ports like 80.

Probing Mode: Force SYN (Option D): Forcing SYN packets is a technique used to bypass certain types of load balancers but does not address the fundamental issue of path discovery probes being seen as a separate, malicious scan by stateful inspection engines.

Therefore, enabling In Session path trace mode is the most effective way to ensure consistent visibility through security-hardened environments.

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 Recommendatio41ns' that are a hallmark of modern network assurance.

According to the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) best practices for collaboration monitoring, Microsoft Teams (as well as Webex and Zoom) is monitored using a combination of Scheduled and Dynamic tests (Option D).

Scheduled Tests: These are used to proactively monitor the reachability and performance of the Microsoft Teams infrastructure. The Teams template typically includes scheduled HTTP Server tests to teams.microsoft.com and login.microsoftonline.com, along with network-layer tests to the Teams Transport Relay (e.g., worldaz.tr.teams.microsoft.com). These provide a continuous baseline of connectivity regardless of whether a user is currently in a call.

Dynamic Tests: These are a unique feature for collaboration monitoring. When an Endpoint Agent detects that the Teams application has initiated a real-time media session (audio or video call), it automatically triggers a Dynamic Test to the specific IP and port being used for that call. This allows IT teams to see the exact network path---including hop-by-hop latency and loss---of the actual call traffic while the session is active.

Real User Tests (Option C) are generally not used for Teams monitoring in the same way they are for web-based SaaS apps. Because most users utilize the Teams desktop client rather than the browser, the RUM browser extension cannot capture the rich telemetry of the desktop application's internal signaling and media streams. Therefore, the specialized 'Automated Session Testing' provided by Dynamic Tests, combined with the proactive health checks of Scheduled Tests, constitutes the complete assurance strategy for Microsoft Teams.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, understanding the visibility gap between the SD-WAN overlay and the transport underlay is a core competency. The provided exhibit illustrates a ThousandEyes Enterprise Agent deployed on a Branch Edge Router performing tests across two distinct paths: Internet (reaching a destination at 64.100.249.90) and MPLS (reaching a destination at 172.29.0.2).

According to the ENNA architecture guidelines, ThousandEyes is primarily utilized to provide hop-by-hop visibility into the underlay network. While SD-WAN controllers like vManage provide native monitoring for the overlay---the logical IPsec tunnels (Option B) that form the SD-WAN fabric---they often lack granular visibility into the physical service provider paths (the underlay) that carry those tunnels. The exhibit specifically highlights the agent probing the transport networks (Transport VPN0) directly, bypassing the overlay tunnels to measure the raw performance of the ISP and MPLS circuits.

By monitoring the underlay (Option A), the engineer can identify if high latency or packet loss is caused by a specific hop within the service provider's infrastructure or at a peering point. This 'underlay visibility' is critical for troubleshooting SD-WAN performance issues where the overlay may report a tunnel down, but the root cause lies in a BGP routing change or physical fiber cut in the provider network. ThousandEyes Enterprise Agents, natively integrated into Catalyst 8000 and ISR 4000 platforms, allow for this persistent underlay monitoring without additional hardware.

Overlay (Option C): While ThousandEyes can monitor overlay performance, the exhibit's focus on the raw IP addresses (Internet and MPLS) in the transport VPN indicates an underlay test.

IPsec/GRE Tunnels (Options B & D): These represent the transport mechanisms of the overlay. ThousandEyes probes the path under these tunnels to ensure the transport health is sufficient to support the fabric.

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In the Designing and Implement7ing Enterpr8ise Network Assurance (300-445 ENNA) framework, configuring effective alert rules is critical for distinguishing between standard network noise and actionable application-layer failures. For Web - HTTP Server tests, ThousandEyes allows engineers to monitor both network-level metrics (like Connect time) and application-level indicators (like HTTP response codes).

The requirement is to trigger an alert specifically when the HTTP server responds with a server error. In the HTTP protocol, server errors are categorized as the 5XX series of status codes (e.g., 500 Internal Server Error, 503 Service Unavailable, 504 Gateway Timeout). To meet this requirement, the engineer must configure a location alert condition where the Metric is set to Response Code and the condition value is server error(5XX) (Option D).

Reviewing the other options:

Error type is any (Option A): While this would capture server errors, it would also trigger for 4XX client errors (like 404 Not Found) and network-layer timeouts, making it too broad for a specific 'server error' requirement.

Wait Time is Dynamic (Option B): This monitors the time-to-first-byte using statistical baselining. While high wait times often precede 5XX errors, this condition only alerts on latency, not on the actual error code itself.

Response Time (Option C): Similar to wait time, this monitors performance speed rather than the logical success or failure of the server's response.

By specifically selecting Response Code: server error(5XX), the engineer ensures that the operations team is only notified when the application backend is experiencing a functional failure, rather than just a slow response or a client-side misconfiguration.