A network operations team wants to forecast when a core switch might fail based on historical syslog messages, SNMP traps, and interface error counters. Which machine learning approach is best suited for this task?

Supervised learning with labeled historical failure data

Generative AI to create synthetic failure logs

Unsupervised learning to cluster normal and abnormal syslog messages

Reinforcement learning to optimize switch configuration

A network team is asked to produce configuration templates for new branch office routers. The team wants to use a generative AI tool to speed up the process, but they are concerned about the accuracy of the generated configurations. Which practice best addresses this concern?

Disable all AI tools because they cannot be trusted for network configuration.

Ask the AI tool to generate multiple versions and choose the one that looks most complete.

Have a senior engineer review and test the AI-generated configuration in a lab before deployment.

Use the AI-generated configuration as-is and deploy it to all branch routers to save time.

Which task is a common application of machine learning in network operations?

Configuring routing protocols manually

Manually reviewing syslog messages

Detecting anomalies in network traffic patterns

Assigning IP addresses via DHCP

CiscoCertified Network Associate (CCNA)

Domain 6Objective 4

6.4 Explain AI (generative and Predictive) and Machine Learning in Network Operations 200-301 Practice Questions (Page 7)

Part of the Automation and Programmability domain, which accounts for 10% of the 200-301 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~5–8 in this domain), expect 1–1 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

5concepts

10%of the exam

Questions 31–33

31application · medium
A network operations team wants to forecast when a core switch might fail based on historical syslog messages, SNMP traps, and interface error counters. Which machine learning approach is best suited for this task?
Select an answer first
32application · medium
A network team is asked to produce configuration templates for new branch office routers. The team wants to use a generative AI tool to speed up the process, but they are concerned about the accuracy of the generated configurations. Which practice best addresses this concern?
Select an answer first
33foundation · easy
Which task is a common application of machine learning in network operations?
Select an answer first

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6.4 Explain AI (generative and Predictive) and Machine Learning in Network Operations 200-301 Practice Questions (Page 7)

Questions 31–33

A network operations team wants to forecast when a core switch might fail based on historical syslog messages, SNMP traps, and interface error counters. Which machine learning approach is best suited for this task?

A network team is asked to produce configuration templates for new branch office routers. The team wants to use a generative AI tool to speed up the process, but they are concerned about the accuracy of the generated configurations. Which practice best addresses this concern?

Which task is a common application of machine learning in network operations?

Keep studying — Automation and Programmability