In MDT there is only push method, from server(device/publisher) to subscriber, with 2 types of sessions: dial-in (dynamic, where subscriber use NETCONF to ask for data) and dial0out(gRPC, configured from CLI)
IMO, the answer is C
Model-driven telemetry is a telemetry collection method that uses pre-defined models to represent the data being collected. This makes it easier to develop clients that can read and understand the data, and it also allows for more efficient data collection.
One of the benefits of using model-driven telemetry is that it reduces the load on the server by enabling the client to pull data. This is because the client only needs to request the data that it needs, rather than receiving all of the data that is being collected. This can improve performance and scalability, especially for applications that are collecting a lot of data.
So the answer is (A).
I asked ChatGPT and it answered C.
How confident are you in your answer?
I am highly confident in my answer, Model-driven telemetry is a feature that allows devices to collect operational data at a high rate and scale. This is achieved by using a standard data model, which defines the data that should be collected, and a standard encoding format, which defines how the data should be encoded and sent to the collector. The standard data model and encoding format allow devices to send data in a consistent format, which makes it easier to process and analyze the data.
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