Machine learning algorithms can identify unusual network traffic patterns that are difficult for human administrators to notice. This capability allows for early detection of anomalies, enhancing network security and performance by addressing issues proactively. While machine learning can reduce the workload of manual monitoring, it does not eliminate the need for human oversight. Additionally, although it may contribute to improved network operations and reduced downtime, these are not primary benefits of machine learning in network monitoring. Machine learning does not directly optimize traditional routing protocols but rather works alongside existing network infrastructure to enhance monitoring capabilities.
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Cisco CCNA 200-301
Automation and Programmability
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