Network automation and AI/ML impact on network operations

3 quick checks≈1% of the testFoundational

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Explain the business and operational drivers for network automation, including consistency, speed, scalability, and reduction of manual error.
Compare manual device-by-device operations with automated workflows for provisioning, configuration changes, compliance checking, and troubleshooting.
Describe how AI and ML are used in network operations for pattern detection, anomaly identification, assurance, baselining, and predictive insights.

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Evaluate the operational benefits and limitations of automation and AI/ML, including data quality dependence, need for validation, and the role of human oversight.

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