A network administrator wants to forecast future bandwidth requirements based on historical usage data to optimize resource allocation. Which approach is most suitable for this task?
Applying predictive models to anticipate network conditions
Implementing anomaly detection to identify unusual activity
Deploying reactive systems to respond to events in real-time
Using generative models to create synthetic network traffic data
The most suitable approach is applying predictive models to anticipate network conditions. Predictive models use machine learning algorithms to analyze historical data and forecast future trends, enabling network administrators to plan bandwidth allocation proactively. Generative models focus on creating new data rather than forecasting, which doesn't directly aid in predicting future requirements. Anomaly detection is used for identifying irregular patterns that may indicate issues but doesn't help in forecasting. Reactive systems respond to events as they occur without providing insights into future conditions.
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Cisco CCNA 200-301
Automation and Programmability
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