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We analyze data from a Tier-1 ISP that reflect the dynamic operational tasks performed in the ISP network to build a holistic view of configuration management operations. We observe that in addition to commands that lead to persistent configuration changes, virtually all management tasks also involve status-checking commands that do not change the configuration, but allow the operator to verify some router specific state. Based on this observation we model configuration modifications using automatically generated deterministic finite automata (DFA), where a state represents the configured behavior of an interface and an edge indicates the operations performed on the interface either to fulfill a specific task or to check the status of the router. The DFA model captures common configuration tasks derived by our analysis and their ordering and dependency. We argue that composing DFAs is a (small) step towards enabling operators to reason about the operational state of the network, as well as enabling tools for automated network management.