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

According to theDesigning 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 ofScheduled 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 theTeams 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 aDynamic Testto 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 Teamsdesktop clientrather 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 byDynamic Tests, combined with the proactive health checks ofScheduled Tests, constitutes the complete assurance strategy for Microsoft Teams.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, the evolution of network monitoring includes moving from periodic polling to real-time data streaming. The exhibit displays a curl command targeting the ThousandEyes API v7 /stream endpoint. When integrating ThousandEyes with high-performance observability platforms likeGrafana, the standardized and recommended method for machine-to-machine data exchange is throughOpenTelemetry (OTel).

According to the ENNA architecture guidelines, the ThousandEyesStreaming APIallows users to push granular test metrics (such as network latency, packet loss, and jitter) to external collectors in an OTel-compatible format. In the provided JSON payload, the "type" field is a mandatory parameter that defines the integration protocol. For Grafana, which natively supports OpenTelemetry Protocol (OTLP) via its OpenTelemetry Collector, the value must be set to"opentelemetry"(Option A). This tells the ThousandEyes streaming engine to encapsulate the data according to the OTel semantic conventions, ensuring that Grafana can correctly interpret and visualize the metrics without additional custom parsing logic.

While other options exist in the ThousandEyes ecosystem, they do not fit the specific API call shown for this use case:

Custom Webhooks(Option B) are typically used for event-driven alerts and notifications (e.g., sending a POST request when a threshold is breached) rather than continuous high-fidelity metric streaming.

Push-apiandpoll-api(Options C and D) are not valid "type" values within the context of the v7 /stream endpoint, as the streaming service specifically utilizes the OpenTelemetry framework for real-time delivery.

By selectingopentelemetry, the network engineer enables a robust "push-based" integration that provides real-time visibility into application performance and network health, leveraging Grafana's advanced dashboarding capabilities to analyze ThousandEyes telemetry data alongside other enterprise infrastructure metrics.

Introduction to ThousandEyes for OpenTelemetry

This video provides a foundational understanding of how ThousandEyes uses modern streaming frameworks to export critical performance data to external observability platforms.

In wireless network assurance, high channel utilization and increased retransmissions are clear indicators of RF interference or over-subscription. Retransmissions are particularly damaging to voice call quality because they introduce significant jitter and late-arrival packet loss that the jitter buffer cannot overcome.

The recommended optimization is tochange the access point to a different, less congested channel(Option B). This directly reduces the competition for airtime (Channel Utilization) and the likelihood of collisions from neighboring access points (Co-Channel Interference), which in turn lowers the retransmission rate. Modern wireless controllers usingRadio Resource Management (RRM)often automate this, but a manual adjustment based on SNMP telemetry is a valid operational fix.

Other options are technically flawed:

Option A:Increasing transmit power oftenincreasesinterference and channel utilization for surrounding cells, making the problem worse for everyone.

Option C:Disabling all non-voice traffic is an extreme measure that is rarely feasible in a real business environment.

Option D:Admission control limits thenumberof users but doesn't solve the underlying issue of poor channel health for those already connected.