Question 510 of 1,819
AI and Network OperationsmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is streaming telemetry. This technology is the correct choice because it employs a push-based model where network devices continuously send structured data—often via protocols like gRPC or UDP—to a central collector, which dramatically reduces CPU overhead on routers and switches compared to the pull-based polling of SNMP. In contrast, SNMP polling requires the manager to send repeated get requests, and as the frequency of queries increases to meet real-time needs, the CPU load on the devices spikes, making it unsuitable for high-frequency monitoring of thousands of devices. On the CCNA 200-301 v2 exam, this distinction tests your understanding of modern network monitoring paradigms; a common trap is to default to SNMP because it is familiar, but the question’s emphasis on “push-based” and “minimizing CPU overhead” directly points to streaming telemetry. A helpful memory tip: think of streaming telemetry as a “push notification” from the device, while SNMP polling is like constantly calling your device to ask “Are you okay?”—the former is far more efficient at scale.

CCNA AI and Network Operations Practice Question

This 200-301 practice question tests your understanding of ai and network operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.

A network engineer is tasked with monitoring a large enterprise network that requires high-frequency, real-time data collection from thousands of routers and switches. The engineer needs a solution that minimizes CPU overhead on the network devices and supports push-based data delivery. Which technology should the engineer choose for this requirement?

Question 1mediummultiple choice
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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

Streaming telemetry

Streaming telemetry uses a push model where devices continuously send structured data (e.g., via gRPC or UDP) to collectors, reducing the need for polling and lowering CPU impact. SNMPv2c uses pull-based polling (get requests) which increases CPU load with high-frequency queries. NetFlow and IPFIX are flow-based and better suited for traffic analysis, not real-time device metrics like CPU or memory.

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.

  • SNMPv2c with frequent polling intervals

    Why it's wrong here

    SNMPv2c relies on a pull model where the manager polls devices. Frequent polling increases CPU usage on devices and may not scale to thousands of devices for real-time data.

  • Streaming telemetry

    Why this is correct

    Streaming telemetry uses a push model, reducing CPU overhead by having devices send data on a schedule or event basis. It scales well for large networks and supports real-time visibility.

    Related concept

    Read the scenario before looking for a memorised answer.

  • NetFlow

    Why it's wrong here

    NetFlow is designed for traffic flow analysis (e.g., source/destination IPs, ports) and not for collecting device metrics like CPU or memory. It also uses a pull-like export mechanism that can be CPU-intensive.

  • IPFIX

    Why it's wrong here

    IPFIX is an extension of NetFlow for flexible flow export. Like NetFlow, it is focused on traffic flows, not device health metrics, and does not provide the push-based efficiency of streaming telemetry for real-time monitoring.

Option-by-option analysis

Why each answer is right or wrong

Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The 200-301 exam frequently reuses these exact scenarios with slightly different constraints.

Streaming telemetryCorrect answer

Why this is correct

Streaming telemetry uses a push model, reducing CPU overhead by having devices send data on a schedule or event basis. It scales well for large networks and supports real-time visibility.

SNMPv2c with frequent polling intervalsWrong answer — click to see why

Why this is wrong here

SNMPv2c uses a pull model where the manager polls devices for data. Frequent polling intervals increase CPU usage on network devices and can cause scalability issues with thousands of devices, making it unsuitable for high-frequency, real-time data collection with minimal overhead.

Why candidates choose this

Students may think SNMP is the standard for network monitoring and that increasing polling frequency can achieve real-time data, but they overlook the CPU overhead and scalability limitations of the pull model.

NetFlowWrong answer — click to see why

Why this is wrong here

NetFlow is designed for traffic flow analysis, capturing details like source/destination IPs and ports, not for collecting device health metrics such as CPU or memory. Its export mechanism can be CPU-intensive and does not provide the push-based efficiency needed for real-time monitoring of device status.

Why candidates choose this

Students may confuse NetFlow with a general monitoring tool because it exports data, but they fail to recognize its specific focus on traffic flows rather than device metrics.

IPFIXWrong answer — click to see why

Why this is wrong here

IPFIX is an extension of NetFlow for flexible flow export and shares the same focus on traffic flows, not device health metrics. Like NetFlow, it does not offer the push-based, low-overhead data delivery required for real-time monitoring of thousands of devices.

Why candidates choose this

Students might think IPFIX is more advanced and could be used for device monitoring, but it is still flow-based and not designed for telemetry data collection.

Analysis generated from the official 200-301blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 200-301 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 200-301 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this 200-301 question test?

AI and Network Operations — This question tests AI and Network Operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Streaming telemetry — Streaming telemetry uses a push model where devices continuously send structured data (e.g., via gRPC or UDP) to collectors, reducing the need for polling and lowering CPU impact. SNMPv2c uses pull-based polling (get requests) which increases CPU load with high-frequency queries. NetFlow and IPFIX are flow-based and better suited for traffic analysis, not real-time device metrics like CPU or memory.

What should I do if I get this 200-301 question wrong?

Identify which 200-301 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 6, 2026

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This 200-301 practice question is part of Courseiva's free Cisco certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 200-301 exam.