6.4 Explain AI (generative and predictive) and machine learning in network operations.
Objective 6.4 sits in Automation and Programmability, which carries 10% of the CCNA exam. The questions below are original, written from the official objective title above, and each explanation cites the Cisco page it rests on.
Objective title verbatim from the official objectives. Cisco exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
An operations team drowns in individual alarms during an outage and cannot tell which of them matter. What does an AI driven operations platform add to that pile of data?
Correct.
Concept
Telemetry volume is not the same as insight. Value comes from relating events to each other and to what came before, so that one underlying fault is presented once rather than as the fifty symptoms it produced.
Why D
The platform performs anomaly detection and event correlation across the collected data, which turns scattered symptoms into an identified cause and a recommended action. Troubleshooting then starts from a conclusion rather than from a log search.
Now you: objective 6.4 questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
A wireless team is asked to report on user experience rather than on access point uptime. Which measure on an AI driven platform answers that question?
Sample question 2 of 3
A platform is trained on labelled examples of past network problems and then flags a new link as likely to fail. Which kind of machine learning is at work?
Sample question 3 of 3
A helpdesk engineer types a plain English question about a site's network health and gets an answer with supporting data. Which capability makes that possible?
That’s 3 of the full CCNA bank.
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Continue practicingRead the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.