A network architect wants to propose a scalable network monitoring solution in which data is repeatedly acquired from network devices.
The solution must use a push model and provide close to real-time access to operational data.
Which technology must be used to meet these requirements?
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A. B. C. D.D.
https://blogs.cisco.com/developer/its-time-to-move-away-from-snmp-and-cli-and-use-model-driven-telemetryTo meet the network architect's requirements of a scalable network monitoring solution using a push model and providing close to real-time access to operational data, the technology that should be used is "streaming telemetry".
Streaming telemetry is a real-time data collection and publishing mechanism used for network monitoring. It provides a way to continuously monitor and report on the network health, performance, and other operational data. It works by streaming telemetry data in real-time from network devices to a monitoring system, without requiring any polling or querying.
Unlike SNMPv3, which uses a pull model and requires the monitoring system to initiate queries to the network devices to collect data, streaming telemetry uses a push model where network devices proactively send data to the monitoring system. This approach allows for faster data collection and near-real-time access to operational data, making it an ideal choice for the network architect's requirements.
Logging can also be used for network monitoring, but it is not ideal for near-real-time access to operational data. Logging provides historical data and is typically used for troubleshooting and forensic analysis.
CLI-based scripting can be used for network automation and monitoring, but it requires manual scripting and can be time-consuming to maintain as the network scales. Additionally, it does not provide real-time access to operational data.
In summary, streaming telemetry is the best technology to use to meet the network architect's requirements for a scalable network monitoring solution that provides close to real-time access to operational data.