Which of the following positively impacts data durability in Cassandra?

Setting a high replication factor in Cassandra significantly enhances data durability. This is because a replication factor determines the number of copies of each piece of data that are stored across different nodes in the cluster. By increasing the replication factor, data is distributed and stored on multiple nodes, which means that if one node fails or becomes unavailable, a replica of the data can still be accessed from another node.

This redundancy is crucial for ensuring that data remains available and intact even in the case of hardware failures, network issues, or other unforeseen problems. As a result, a higher replication factor does not only improve the fault tolerance of the system but also allows for improved read performance, as requests can be served by multiple nodes holding a copy of the data.

In contrast, using a low replication factor would yield fewer copies of data, making it more susceptible to data loss in the event of node failures. Implementing no data compression does not directly affect durability; while it might impact performance, durability is primarily concerned with how many copies of the data exist. Similarly, simply increasing the size of SSTables does not contribute to data durability, since it does not modify how many replicas of that data are kept, nor does it help in recovering from node failure.