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200-901 Infrastructure and Automation Practice Question

Which TWO statements correctly describe differences between model-driven telemetry and traditional SNMP polling?

⚠ Common exam trap

Cisco often tests the misconception that SNMP is purely pull-based and cannot push, but the trap here is that SNMP informs and traps are push mechanisms, so candidates must focus on the 'frequent polling' CPU reduction as the key differentiator, not the push/pull model alone.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Model-driven telemetry reduces device CPU usage compared to frequent SNMP polling

Model-driven telemetry uses a push model that sends data only when there is a change or at a configured interval, which significantly reduces the device CPU overhead compared to frequent SNMP polling, where the device must process and respond to each individual GET request from the NMS. This efficiency gain is a primary advantage of telemetry over traditional polling.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • SNMP supports push-based notifications using informs

    Why it's wrong here

    SNMP traps/informs are push but are not the primary or typical method; polling is pull.

  • Model-driven telemetry reduces device CPU usage compared to frequent SNMP polling

    Why this is correct

    Telemetry is more efficient as devices send data at intervals rather than being polled.

  • Model-driven telemetry can only be used with NETCONF

    Why it's wrong here

    Telemetry can use gRPC, HTTP, or other transports; not limited to NETCONF.

  • Model-driven telemetry uses a push model, while SNMP polling is a pull model

    Why this is correct

    Correct: telemetry pushes data; SNMP pulls.

  • SNMP uses YANG models for data definition

    Why it's wrong here

    SNMP uses MIBs, not YANG.

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Last reviewed: Jun 24, 2026

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