
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 1)
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 1–5
- 1
Which machine learning approach is most appropriate for discovering groups of similar devices in a network without predefined categories?
Select an answer first - 2
A network team wants to use predictive AI to forecast bandwidth usage on a WAN link. They have collected two years of traffic data, but the data contains many gaps and inconsistent timestamps due to monitoring tool changes. What is the most important first step before training the model?
Select an answer first - 3
A network team has a labeled dataset of network traffic where each sample is marked as 'normal' or 'attack'. They train a model to classify new traffic. Which type of machine learning is this?
Select an answer first - 4
A network team wants to implement an AI system that learns to reroute traffic around congested links. They have a network simulator that can provide feedback on the impact of routing decisions. However, they are concerned about the time it takes to train the model. Which approach is most suitable?
Select an answer first - 5
A network engineer needs to quickly generate a standard ACL configuration for a new branch office. The engineer has a set of previously approved ACL templates and wants to use a generative AI tool to produce a draft. What is the most important step before applying the AI-generated ACL to production?
Select an answer first
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