Artificial Intelligence (AI) and Machine Learning (ML) excel at analyzing vast amounts of network data to identify patterns and deviations from a learned baseline. A primary application is anomaly detection, which involves proactively identifying unusual traffic patterns that could signify a security breach, a performance bottleneck, or a failing component. The other options are incorrect because they describe manual administrative tasks (manually configuring VLANs, creating diagrams) or a different component of network automation (data encoding for APIs).
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Cisco CCNA 200-301
Automation and Programmability
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