300-445 Exam Dumps - Designing and Implementing Enterprise Network Assurance(300-445 ENNA)

According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)architecture, ThousandEyes provides a suite of native, "out-of-the-box" integrations specifically designed foralert notifications. These integrations are configured via theManage > IntegrationsorAlert Rules > Notificationstabs and allow the platform to push instant event data to a variety of collaboration, IT operations, and observability tools.

The verified list of native notification integrations includes:

ServiceNow (A):Facilitates direct incident management and automated ticketing workflows.

PagerDuty (B):Allows for automated incident escalation and on-call routing based on ThousandEyes alerts.

MS Teams (C) & Slack (H):Enable real-time chatops by pushing alert details and permalinks directly into specified channels for team collaboration.

Splunk (D):Utilizes theCisco ThousandEyes App for Splunkto ingest alert data for historical analysis and correlation within a SIEM or logging platform.

AppDynamics (F):Sends alert notifications directly into an AppDynamics instance, allowing application owners to correlate network issues with APM metrics.12

Webex (G):Integrates with theWebex Control Huband specific Webex spaces to provide unified visibility for collaboration performance.34

AWS (Option E)is not a nativealert notificationdestination5in this context; instead, ThousandEyes integrates with AWS for "Cloud Insights" (ingesting VPC Flow Logs) and "Test Recommendations" rather than acting as a receiver for event notifications like a chat or ITSM tool. By utilizing these native integrations, enterprise teams ensure that the right stakeholders are notified through their preferred communication channels the moment a performance threshold is breached, drastically improving response times across the organization.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)framework, managing a large-scale deployment of Endpoint Agents requires efficient categorization throughAgent Labels. Agent labels are used to group agents for targeted test assignment and data filtering based on specific attributes like location, OS, or naming conventions.

ThousandEyes supports the use ofwildcards (specifically the * symbol)within label filters to allow for dynamic and scalable grouping. In this scenario, the organization has adopted a naming convention of agentname-network. To capture all agents connected to the "corporate" network regardless of the unique agentname prefix, the engineer should use the filter*-corporate(Option A) in the hostname or agent name field. The asterisk functions as a placeholder for any string of characters, ensuring that any agent ending with "-corporate" is automatically added to the label as soon as it registers with the ThousandEyes platform.

Other options are incorrect for the following reasons:

agentname-* (Option B):This would only match agents that literally start with the string "agentname-", which is a placeholder and not a representative filter for a group of uniquely named agents.

agent*corporate (Option C):This filter is overly broad and lacks the specific hyphen delimiter used in the organization's naming convention, potentially leading to the inclusion of unintended agents.

No wildcard (Option D):Wildcards are a documented and essential feature of the ThousandEyes label system to facilitate automated management in enterprise environments.

By implementing wildcard-based labels, the network administrator ensures that new agents are seamlessly integrated into the assurance strategy without the need for manual manual intervention.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)architecture, a critical design consideration is the impact of the monitoring solution on the production environment. The primary advantage ofpassive monitoring(Option B) is its non-intrusive nature; it provides insights into network performance and traffic composition without injecting additional "synthetic" overhead into the data plane.

Passive techniques—such asCisco Meraki Insight (MI), NetFlow, and SNMP—rely on the telemetry generated by existing user traffic or the device's own control plane. For example, Meraki Insight analyzes HTTP/S flows as they naturally pass through a Meraki MX appliance to derive application performance scores, rather than sending separate probes.5This ensures that the monitoring tool itself does not consume bandwidth or contribute to network congestion, which is particularly vital in bandwidth-constrained branch environments or on high-utilization links.

In contrast,active monitoring(Options A and C) requires the deliberate generation of synthetic traffic, which can potentially skew results if the volume is too high or if the network is already at capacity. While active monitoring is essential for proactive troubleshooting (measuring performance before users complain), passive monitoring is the preferred method for long-term historical analysis of real user experience and infrastructure utilization because it captures what is actually happening on the wire. Option D is a shared capability; both types can measure specific services, but only passive monitoring does so while remaining transparent to the network load. Therefore, the lack of added traffic is the definitive advantage of the passive approach.

Under theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)guidelines, the integration between ThousandEyes andCisco Secure Client(formerly AnyConnect) is designed to provide visibility into the hybrid workforce experience. The integration primarily leveragesnetwork performance data from the user's device(Option C) to diagnose connectivity and application issues.

This data is collected by theThousandEyes Endpoint Agent, which is deployed as a module within the Cisco Secure Client.10The agent captures real-time telemetry from the user's laptop or workstation, includingWi-Fi signal strength,CPU and memory utilization, andlocal network gateway latency. Specifically, for remote users, it monitors the health of the VPN tunnel and the performance of applications as seen from the end-user's vantage point.

When a user reports a "slow application," this integrated telemetry allows IT teams to determine if the root cause is the user's home Wi-Fi, a saturated VPN concentrator, or an issue within the ISP underlay. The agent performsAutomated Session Testing (AST), which maps the network path as soon as a user joins a critical meeting or accesses a SaaS tool, providing a granular view of every hop between the device and the service destination. Unlike hardware configuration data (Option A) or behavioral analytics (Option B), the focus here is strictly on thenetwork performance metricsthat impact digital experience.

Therefore, the collection of device-centric network performance data is the core function of the Cisco Secure Client and ThousandEyes integration.

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.