Cisco 300-445 Dumps Questions Answers

AppDynamics

Catalyst Center

ThousandEyes

Meraki

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)architecture, each platform is positioned to address a distinct domain of visibility and management within the modern IT visibility framework.

AppDynamics(matched to Case 1) is specifically engineered for Full-Stack Observability and Application Performance Monitoring (APM). Its unique focus is linking technical application performance—such as code-level execution and database queries—directly to business outcomes and real-time business metrics. By doing so, it allows organizations to pinpoint how application latency impacts revenue or user satisfaction, making it the primary choice for business impact analysis.

Catalyst Center, formerly DNA Center (matched to Case 2), serves as the foundational controller for campus and enterprise network infrastructure. It leverages AI-driven insights to automate network operations, enforce security policies, and provide at-a-glance health monitoring for local devices and clients. It is the definitive management system for connecting and securing "inside" the corporate network perimeter.

ThousandEyes(matched to Case 3) provides "Internet Intelligence" and is the key solution for monitoring the service delivery chain across environments the enterprise does not own. By utilizing a global network of Cloud, Enterprise, and Endpoint agents, it provides end-to-end visibility from any user location to any application (SaaS or Cloud) over any network (Internet, ISP, or WAN).

Meraki(matched to Case 4) is a cloud-first platform designed for managing highly distributed network environments and IoT deployments. It provides end-to-end visibility through a simplified dashboard that integrates wireless health, switching, and security across thousands of sites, making it ideal for lean IT teams managing distributed retail or branch locations.

Each platform utilizes different data collection methods—active synthetic testing for ThousandEyes and passive monitoring/AI telemetry for Catalyst Center—to ensure comprehensive network assurance across the entire enterprise ecosystem.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, understanding the distinction between different monitoring methodologies is fundamental to architecting an effective assurance strategy. When an engineer deploys aThousandEyes Enterprise Agenton a Meraki MX appliance, they are implementingactive monitoring.

Active monitoring, as defined in standard network assurance frameworks like RFC 7799, involves the generation of synthetic traffic or "probes" that are sent across the network to a specific destination. These probes, which can utilize protocols such as ICMP, TCP, or HTTP/S, simulate real user transactions to measure performance metrics including latency, packet loss, jitter, and path visualization. The Enterprise Agent acts as a dedicated vantage point, executing these tests at scheduled intervals to provide a proactive baseline of network and application health. This allows the engineer to identify performance degradation or outages even when no real users are actively using the application, ensuring that issues are detected before they impact the business.

It is important to contrast this withpassive monitoring(Option B). In the Meraki ecosystem,Meraki Insight (MI)natively performs passive monitoring by observing and analyzing actual user traffic flows (HTTP/S data) as they traverse the MX appliance without injecting additional traffic. While passive monitoring is excellent for understanding real-world user experience and server response times, it relies on existing traffic and cannot provide hop-by-hop path visualization across the Internet in the same way active synthetic probing does.

By integrating the ThousandEyes Enterprise Agent—which runs as a containerized service within the MX architecture—the engineer gains the benefits of active monitoring directly from the branch edge. This eliminates the need for separate hardware and provides deep, "outside-in" and "inside-out" visibility into SaaS application performance. Therefore, the deployment of a ThousandEyes agent explicitly enablesactive monitoring(Option A) to supplement the native passive capabilities of the Meraki platform.

In the context ofDesigning and Implementing Enterprise Network Assurance (300-445 ENNA), understanding the visibility gap in SD-WAN environments is essential. While SD-WAN controllers provide native visibility into theoverlay network(the logical IPsec tunnels and fabric health), they often lack granular insight into the physical transport orunderlay networkprovided by ISPs or MPLS circuits.

According to the ENNA architecture guidelines, the most suitable method for measuring true SD-WAN performance is to install an agent on theunderlay network(Option D). By deploying ThousandEyes Enterprise Agents directly on the transport-facing interfaces (Transport VPN0 in Cisco SD-WAN terminology), engineers can perform hop-by-hop path visualization and measure metrics like packet loss, latency, and jitter across the actual provider path. This is critical because performance degradation in the overlay is almost always a symptom of an issue in the underlay, such as BGP routing instabilities or physical link congestion at an ISP peering point.

Deploying agents on theoverlay(Option A) only measures the performance of the tunnel itself, which may hide specific hop-level failures occurring in the public internet. Installing an agent on theLAN(Option C) orDMZ(Option B) adds local network noise to the metrics, making it harder to isolate if a problem exists within the corporate office or the service provider network. By focusing on theunderlay, the engineer ensures they have the "internet intelligence" required to hold service providers accountable to SLAs and quickly resolve connectivity issues that impact the SD-WAN fabric.