How do predictive models enhance network resource allocation?

The correct answer is C. They anticipate future traffic spikes.. Predictive models analyze historical data and patterns in network traffic to anticipate future demands, such as potential traffic spikes. By forecasting these trends, network administrators can proactively allocate resources, ensuring that the network has sufficient capacity to h

Submitted by carlos_mx· Mar 5, 2026Automation and Programmability

Question

Options

AThey solely monitor historical traffic volumes.
BThey assign IP addresses to devices.
CThey anticipate future traffic spikes.
DThey select correct cabling types for deployment.

How the community answered

(51 responses)

A
6% (3)
B
4% (2)
C
88% (45)
D
2% (1)

Explanation

Predictive models analyze historical data and patterns in network traffic to anticipate future demands, such as potential traffic spikes. By forecasting these trends, network administrators can proactively allocate resources, ensuring that the network has sufficient capacity to handle anticipated load increases. This approach helps maintain optimal performance and minimizes the risk of congestion or bottlenecks.

Topics

#Predictive analytics#Network resource management#Traffic prediction#Network automation

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