Can machine learning or artificial intelligence be applied to optimize the configuration and management of floating static routes?
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what is a characteristic of a floating static route
- What is the significance of the administrative distance (AD) in a floating static route?
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- How does the culture of an organization influence its approach to network reliability and resilience?
- Can multiple floating static routes be configured for the same destination?
- How does the concept of rendezvous points (RPs) in multicast routing relate to the use of floating static routes?
- What are the typical recovery time objectives (RTOs) associated with failover scenarios involving floating static routes?
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- Can a floating static route point to the same destination and next hop as the primary route?
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- How does the skillset of the network engineering team influence the choice and implementation of redundancy solutions?
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