How can Model Driven Telemetry be received?

Model Driven Telemetry is designed to provide real-time data collection and monitoring of network devices, significantly improving the way telemetry data is gathered and utilized. The correct choice, which is Periodic or On Change, reflects two main approaches to how telemetry data can be transmitted.

In the periodic approach, data is collected and sent at predefined intervals. This allows for a consistent and reliable stream of telemetry data, which can be useful for monitoring trends over time and ensuring that the data is up-to-date with minimal delay.

On change, on the other hand, refers to the ability to send data only when there is a change in the device state or certain metrics. This approach conserves bandwidth and processing power by limiting the volume of data transmitted to only what is necessary, allowing for more efficient operation of the network.

Together, these methods provide flexibility and scalability in how telemetry can be implemented, enabling network operators to adapt to different needs based on the operational environment and the nature of the data being monitored. This makes it possible to optimize network performance and troubleshoot issues more effectively.

In contrast, the other options do not accurately topologically reflect the operational capabilities or practices typically associated with Model Driven Telemetry.