Question 489 of 500
Automation and Quality of ServicemediumMultiple ChoiceObjective-mapped

Quick Answer

The correct choice is a Python script that consumes telemetry data and adjusts the EF bandwidth percentage via NETCONF when queue depth exceeds a threshold. This closed-loop automation technique is effective because model-driven telemetry provides real-time, push-based monitoring of queue depths, allowing the script to detect periodic spikes in EF traffic that cause latency. When the threshold is breached, the script dynamically modifies the QoS policy via NETCONF, adjusting bandwidth allocation on the fly to mitigate the spikes without manual intervention. On the Cisco SPCOR 350-501 exam, this scenario tests your understanding of integrating telemetry with programmable network control—a key skill for service provider automation. A common trap is choosing a static CLI-based solution, which lacks the real-time responsiveness required. Remember the memory tip: “Telemetry triggers, NETCONF tweaks”—the data stream drives the policy change.

350-501 Automation and Quality of Service Practice Question

This 350-501 practice question tests your understanding of automation and quality of service. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

An SP uses model-driven telemetry to monitor queue depths on core interfaces. They observe periodic spikes in the queue depth for EF traffic, causing increased latency. Which automation technique could dynamically adjust the QoS policy to mitigate the spikes?

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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

Use a Python script that consumes telemetry data and adjusts the EF bandwith percentage via NETCONF when queue depth exceeds a threshold.

Option A is correct because it combines model-driven telemetry (to detect queue depth spikes in real time) with a closed-loop automation approach: a Python script consumes the telemetry data, and when the EF queue depth exceeds a threshold, it dynamically adjusts the EF bandwidth percentage via NETCONF. This directly addresses the periodic spikes by modifying the QoS policy on the fly, reducing latency without manual intervention.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Use a Python script that consumes telemetry data and adjusts the EF bandwith percentage via NETCONF when queue depth exceeds a threshold.

    Why this is correct

    Closed-loop automation enables dynamic QoS adjustment.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Deploy NETCONF YANG modules for VRF configuration.

    Why it's wrong here

    VRF YANG modules do not adjust QoS.

  • Configure WRED on the EF queue.

    Why it's wrong here

    WRED helps with congestion avoidance but does not adapt bandwidth.

  • Implement streaming telemetry to collect data every 5 seconds.

    Why it's wrong here

    Telemetry only collects data, does not change configuration.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between monitoring (telemetry) and active remediation (automation), so the trap here is that candidates see 'streaming telemetry' in Option D and think it solves the problem, but it only provides data—not the dynamic adjustment needed to mitigate the spikes.

Detailed technical explanation

How to think about this question

Under the hood, model-driven telemetry uses YANG data models (e.g., Cisco IOS-XE native models) to push queue depth counters via gRPC or TCP, which a Python script can subscribe to using libraries like `ncclient` or `pyangbind`. The script then uses NETCONF to modify the QoS policy map, specifically the `bandwidth remaining percent` or `police` parameters for the EF class, allowing real-time adaptation to traffic bursts. In a real-world scenario, this closed-loop automation prevents SLA violations for voice or video traffic without requiring manual reconfiguration during peak hours.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A practitioner preparing for the 350-501 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this 350-501 question test?

Automation and Quality of Service — This question tests Automation and Quality of Service — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use a Python script that consumes telemetry data and adjusts the EF bandwith percentage via NETCONF when queue depth exceeds a threshold. — Option A is correct because it combines model-driven telemetry (to detect queue depth spikes in real time) with a closed-loop automation approach: a Python script consumes the telemetry data, and when the EF queue depth exceeds a threshold, it dynamically adjusts the EF bandwidth percentage via NETCONF. This directly addresses the periodic spikes by modifying the QoS policy on the fly, reducing latency without manual intervention.

What should I do if I get this 350-501 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 25, 2026

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