Review the exhibits. Based on the evidence, which action is most likely to solve the issue?


The following exhibit shows the Capacity Planning results for a router interface connected to an ISP, which provides a 1Gbps connection. Based on the evidence, which action is most likely to fix the observed behavior?

In the context of Designing and Implementing Enterprise Network Assurance (300-445 ENNA), capacity planning requires accurate baselining of interface bandwidth against its theoretical and provisioned limits. Analyzing Exhibit 4.5 Question 4 (image_79d4fc.jpg) reveals a significant discrepancy between the physical reality of the link and its configuration within the monitoring tool.
The exhibit displays a capacity planning dashboard with a calendar heatmap and traffic graphs. The heatmap for February through May shows a high frequency of 'Severe' (red) utilization blocks. Looking at the Egress graph for Tue May 07 2024, the traffic spikes clearly exceed 40.0 Mbps. Crucially, the dashboard indicates an 'Egress Capacity' of 49.5 Mbps and reports that the 'Highest consumption' was 48.0 Mbps, representing 97% of the available bandwidth.
However, the question states that the ISP provides a 1 Gbps (1000 Mbps) connection. Since the actual traffic being sent is less than 50 Mbps, the link is nowhere near physical saturation. The 'Severe' alerts and high utilization percentages are occurring only because the monitoring software (likely ThousandEyes or a similar NMS) is configured with a Maximum Capacity of only 49.5 Mbps for this interface. This misconfiguration causes the tool to calculate utilization based on a much smaller 'pipe' than what actually exists, leading to false-positive alerts.
Therefore, the most likely action to fix this observed behavior is to reconfigure maximum capacity for the interface (Option B) to match the 1 Gbps specification.
Option A is unnecessary because the current link is only being utilized at ~5% of its 1 Gbps potential.
Option C is a restrictive policy change that is not justified given the actual available headroom.
Option D might shift how data is displayed but will not fix the underlying mathematical error in utilization calculations.
Users on remote sites are reporting voice issues, can you identify possible causes and next steps from the following exhibits?




Refer to the exhibit.

An engineer is tasked with configuring a new test to monitor a web application from the employee's point of view. What two actions should be taken to fulfill the requirement?
In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, monitoring the digital experience of internal employees requires leveraging ThousandEyes Endpoint Agents to 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 the Custom Application workflow within the Endpoint Experience settings.
According to the ENNA implementation standards, the first necessary action is to Create a new custom application monitor (Option A). In the ThousandEyes portal under Endpoint 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 to Add a new scheduled test to the monitor (Option C). Endpoint Agents perform Scheduled Tests at 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.
Refer to the exhibit.

A network engineer is tasked with configuring an alert that will trigger if the HTTP server responds with a server error. What alert conditions should be configured to meet the specified requirements?
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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.
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