Free Cisco 300-445 Practice Exam with Questions & Answers

In the framework ofDesigning and Implementing Enterprise Network Assurance (300-445 ENNA), selecting the appropriate agent for specific test types is a critical configuration step. The ThousandEyes platform utilizes different agent binaries and capabilities depending on the underlying hardware and software environment. Specifically,Page Load testsandTransaction testsrequire the agent to have a browser engine (Chromium) installed and functional to render web content and measure DOM-related metrics.

According to the ENNA implementation guidelines, not all Enterprise Agents support these browser-based tests. The exhibit displays a "New Test" configuration screen where the engineer is searching for "east1-agent-1". While other agents like "west-2-ag-1" are visible, the designated agent is missing because itdoes not support Page load tests(Option D). This common occurrence happens when an Enterprise Agent is deployed on resource-constrained hardware—such as certainCisco Catalyst 9000 switchesorCisco ISR 4000 series routers—where the Chromium browser package is either not supported or has not been enabled due to memory and CPU limitations.

When an agent lacks the required capabilities for a specific test layer (e.g., Web layer tests), it is automatically filtered out from the selection list in the ThousandEyes portal to prevent invalid test configurations. To identify compatible agents, an engineer can look for the "Browser" or "Dual Chromium" labels in the agent settings. If the "east1-agent-1" were merely offline (Option A), disabled (Option B), or still registering (Option C), it would typically still appear in the list but with a status indicator showing its unavailability, rather than being entirely hidden from the test assignment menu. Therefore, the absence of the agent in a web-layer test configuration explicitly indicates a lack of functional support for the required browser-based metrics.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, monitoring the digital experience of internal employees requires leveragingThousandEyes Endpoint Agentsto simulate or record traffic from the user's specific vantage point. When an engineer needs to monitor a specific, potentially internal or non-standard web application, they must utilize theCustom Applicationworkflow within the Endpoint Experience settings.

According to the ENNA implementation standards, the first necessary action is toCreate a new custom application monitor(Option A). In the ThousandEyes portal underEndpoint Experience > Test Settings > Synthetic Tests, the "Monitor Application" button provides access to pre-defined templates for popular services like Microsoft 365 or Webex. However, for a unique enterprise application, the engineer must select "Custom Application" to define the application's identity, including its name and the relevant domain or URL.

The second required action is toAdd a new scheduled test to the monitor(Option C). Endpoint Agents performScheduled Testsat regular, predefined intervals—such as every 5 or 10 minutes—to proactively check the application's availability, response time, and network path health without requiring user interaction. By adding a scheduled HTTP Server or Network test to the custom monitor, the engineer ensures a consistent baseline of the application's performance as seen from the employee's machine.

Reviewing the incorrect options:

Google Suite monitor (Option B):This is a specific template for Google Workspace and is not suitable for a custom application.

Dynamic Tests (Option D):These are specifically designed for collaboration tools like Zoom or Microsoft Teams to capture ad-hoc sessions; they are generally not used for baselining a standard custom web application.

Test Template (Option E):While all monitors are based on templates, "adding a new template" is not a configuration action but rather a result of the monitoring setup.

According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, the native integration of ThousandEyes within the Meraki portfolio is specifically focused on theMeraki MXsecurity and SD-WAN appliances. This integration allows users to install ThousandEyes Enterprise Agents directly on supported Meraki MX hardware, providing critical visibility into the performance of services that distributed users rely on.4

TheMeraki MX (Option A)supports the ThousandEyes Enterprise Agent as a containerized service that can be activated with a single click within the Meraki Dashboard.5This integration is designed to provide better monitoring and testing capabilities for customers interested in improving the quality of their experience and adding the appropriate SD-WAN policies to optimize network performance. By running the agent natively on the MX, administrators can monitor the performance of external applications and services directly from the SD-WAN sites, bridging the gap between local branch health and global internet performance.6

While Cisco continues to expand its assurance integrations across the portfolio, theMR (Wireless),MS (Switching),MV (Camera), andMG (Cellular)series do not currently support the native, "on-box" execution of the ThousandEyes Enterprise Agent. For these other platforms, visibility is typically achieved through passive monitoring viaMeraki Insight (MI)or by deploying ThousandEyes agents on connected client devices (Endpoint Agents) or nearby infrastructure. Therefore, theMeraki MXis the only verified platform supporting native ThousandEyes agent deployment in this context.

In the framework ofDesigning and Implementing En8terprise Network Assurance (300-445 ENNA), selecting the correct agent type depends heavily on the vantage point required for the specific observation. For this scenario, the architect must collect metrics from theinternal network access layer—the point closest to where the users or devices reside within the corporate perimeter—towards a cloud-hosted destination.

TheEnterprise Agent(Option B) is the most appropriate choice because it is specifically designed to be deployed on infrastructure owned and managed by the organization. These agents are "inside-out" vantage points that can be installed directly onCisco Catalyst 9300 or 9400 Series switchesat the access layer using Docker containers. By deploying an Enterprise Agent at the access layer, the architect gains visibility into the entire network path, starting from the internal LAN, traversing the edge/WAN, and reaching into the cloud-hosted web server. This allows for the identification of issues such as local congestion, ISP peering problems, or cloud provider latency.

Other options do not meet the criteria:

Synthetic Agent (Option A):This is a distractor term. All ThousandEyes agents (Cloud, Enterprise, and Endpoint) are synthetic agents because they all perform active synthetic testing.

Cloud Agent (Option C):These are pre-deployed by Cisco in global ISP data centers and provide an "outside-in" view.14While useful for monitoring public-facing availability, they cannot provide visibility into the internal network or the access layer of the organization.

Endpoint Agent (Option D):While these are installed on end-user machines and provide a "user-centric" view, they are generally not used for infrastructure-level path analysis from the access layer switches themselves.

Thus, theEnterprise Agentis the definitive choice for monitoring from the access layer to the cloud.

Detailed Explanation:

This analysis requires extracting two specific browser-rendering metrics from the IT Operations Dashboard. By placing the cursor over the latest metrics data points:

Page Load time:1479.6 ms.

DOM load time: 1354.3 ms.

By subtracting the DOM time from the Page Load time ($1479.6\text{ ms} - 1354.3\text{ ms} = 125.3\text{ ms}$), the engineer identifies the duration spent rendering the page after the initial document structure was established.

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.

TheDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)certification emphasizes that the primary value proposition of the Cisco "Assurance Stack" is the reduction ofMean Time to Identification (MTTI)andMean Time to Resolution (MTTR). The integration of ThousandEyes across Cisco's portfolio—including Catalyst, Meraki, and SD-WAN—allows for quick identification and resolution of performance issues(Option D).12

By embedding ThousandEyes agents into the existing network infrastructure, Cisco enables "end-to-end visibility" that spans domains the enterprise traditionally does not control, such as the public internet and SaaS environments.13During troubleshooting, this cross-platform visibility allows network engineers to immediately correlate internal network health (from Catalyst Center or Meraki Dashboard) with external path visualization (from ThousandEyes). For example, when a user experiences poor video quality in a Webex meeting, the integration allows the engineer to "cross-launch" from the Webex Control Hub directly into a ThousandEyes path view.14This pinpoint accuracy avoids the "blame game" between network, application, and ISP teams by providing a "single source of truth" regarding where the packet loss or latency is occurring.

While some automation exists (Option C), the core benefit isn't automatic configuration changes based on feedback, but rather providing theactionable insightsrequired for manual or policy-based remediation. Similarly, while it streamlines data gathering, its ultimate purpose is thespeed of resolutionin complex, hybrid environments.

According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)data analysis guidelines, identifying the underlying test type is the first step in interpreting a dashboard. By observing the metrics displayed across both the Executive and IT Operations dashboards, we can definitively identify the test type asPage Load(Option B).

A Page Load test is a Web-layer test that uses a browser engine (Chromium) to fully render a page and collect advanced metrics beyond simple availability. Evidence for this test type in the dashboards includes:

Page Completion Time:Displayed on the Executive dashboard map, this metric is specific to how much of the page successfully rendered.

DOM Load Time:Found in the IT Operations dashboard, the Document Object Model (DOM) time is a browser-centric metric that measures when the page structure has finished loading.

Waterfall Charts:While not a specific answer option, these are the foundation of Page Load tests, allowing for the timing of individual web components.

SimpleHTTP Servertests (Option A) only measure availability and response codes, missing the rendering metrics seen here.Agent to server(Option C) is a network-layer test that provides path visualization but no browser-level data.FTP(Option D) is a protocol-specific test not used for web application monitoring. Therefore, the presence of DOM and Page Completion metrics confirms thePage Loadtest type.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, capacity planning and optimization are driven by telemetry data such as NetFlow. When NetFlow identifies that delay and jitter—metrics highly impactful to real-time traffic—spike during peak hours, it indicates that high-priority packets are competing for resources with bulk data.

The most appropriate recommendation is totune the existing QoS configuration(Option C). This involves adjusting the Queuing and Scheduling policies on the routers to ensure that voice and video traffic (typically marked with EF and AF41/AF42 DSCP values) is serviced before other traffic classes during periods of congestion. This solution is targeted, cost-effective, and directly addresses the observed jitter issues without the need for massive capital expenditure.

Reviewing other options:

Option A:A complete QoS redesign is often unnecessary and too invasive for solving peak-hour jitter if a basic QoS framework is already in place.

Option B:Increasing bandwidth on "all" links is a "brute force" approach that is expensive and fails to address the underlying problem of traffic prioritization.

Option D:Hardware replacement is a last resort and would not resolve delay/jitter if the new hardware still lacks a properly tuned QoS policy.