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Peer-to-peer replication involves nodes acting as both clients and servers, sharing resources and data directly with each other without a central coordinator. An example scenario is a file-sharing network where files are distributed across multiple peer nodes.

Read replicas is a replication strategy where multiple copies of data are maintained for the purpose of scaling read operations. Write operations are performed on the primary node, while read operations can be distributed across multiple replicas. An example scenario is a high-traffic website that requires scaling for large numbers of concurrent user reads.

Hybrid replication combines different replication strategies to benefit from the advantages of each, often synchronous and asynchronous methods. An example scenario is an online retail system that requires synchronous replication for inventory control and asynchronous replication for user browsing data.

Multi-master replication is a strategy where each node can process updates and these updates are then propagated to other nodes. This model allows for high availability and fault tolerance. An example scenario is a global database system where multiple sites operate independently and synchronize with each other.

Eventual consistency is a replication strategy where updates to the data might not be immediately visible to all nodes, but all nodes will converge to the same state if no new updates are made to the data. An example scenario is a DNS system where updates to mappings spread over time.

Quorum-based replication is a strategy that requires a majority of nodes (a quorum) to acknowledge a write or read operation before it is considered complete. An example scenario is in a distributed data store that uses a consensus algorithm like Raft to ensure consistency.

Synchronous replication is a data replication strategy where data is written to multiple nodes simultaneously to ensure consistency. An example scenario is a financial transaction system, where balance consistency across multiple databases is critical.

Delta replication is a strategy where only the changes or 'deltas' to data since the last replication are transmitted to other nodes. This is more bandwidth-efficient than full replication. An example scenario is database synchronization where only recent changes are sent to save network resources.

Geographic replication involves distributing data across different physical locations to protect against site failures and to reduce latency by locating data closer to users. An example scenario is a content delivery network (CDN), which distributes data to various geographic nodes to bring content closer to users globally.