What is a benefit of using machine learning in Cisco AFM?

The correct answer is A. It enables AFM to predict potential network faults ahead of time. From Cisco SP Cloud & AFM Knowledge Cisco AFM (Active Fault Manager), part of Cisco Crosswork, uses machine learning algorithms to: Analyze large volumes of telemetry Detect anomalies Identify abnormal behavior patterns Predict potential service-impacting faults before they…

Automation and Orchestration

Question

Options

AIt enables AFM to predict potential network faults ahead of time.
BIt enables AFM to function without an Internet connection.
CIt enables AFM to perform hardware upgrades on network devices.
DIt enables AFM to consume fewer resources.

How the community answered

(24 responses)

A
71% (17)
B
17% (4)
C
8% (2)
D
4% (1)

Explanation

From Cisco SP Cloud & AFM Knowledge Cisco AFM (Active Fault Manager), part of Cisco Crosswork, uses machine learning algorithms to: Analyze large volumes of telemetry Detect anomalies Identify abnormal behavior patterns Predict potential service-impacting faults before they occur This predictive analytics capability is one of AFM's core advantages, enabling proactive fault avoidance rather than reactive troubleshooting.

Topics

#Cisco AFM#machine learning#fault prediction#network analytics

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