What is the best description of how Kafka is utilized for consensus approach in Hyperledger Fabric?
A. Kafka does not support crash tolerance but it does not offer protection against rogue nodes in the network.
B. Provides Byzantine fault tolerance. Finality happens in a matter of seconds. Scale to petabytes of data, distributed across many clusters.
C. Provides Byzantine fault tolerance. Finality happens in a matter of seconds.
D. Permissioned voting based Leader does ordering. Only in-sync replicas can be voted as leader.
What is the best description of how Kafka is utilized for consensus approach in Hyperledger Fabric?
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