Cassandra Practice Test 2025 – Comprehensive All-in-One Guide to Exam Success!

A decentralized design in Cassandra significantly enhances the resilience of the system by preventing data loss due to single points of failure. In traditional databases where a centralized architecture is often employed, a failure in any single component can lead to data unavailability or loss. In contrast, Cassandra's design allows data to be distributed across multiple nodes in a cluster. Each piece of data is replicated across these nodes according to the defined replication strategy, ensuring that if one node fails, the data remains accessible from other nodes that have the replicas.

This redundancy is crucial in a distributed system where high availability and fault tolerance are paramount. If there were to be a failure in any individual node, the system can seamlessly continue to operate by rerouting requests to the other nodes that contain copies of the needed data. As a result, this design alleviates the risks associated with data loss and enhances overall system resilience, which is a foundational benefit of Cassandra's architecture.

The other options suggest drawbacks or limitations that are contrary to the nature of decentralized systems in Cassandra, which is why they do not present the main advantage accurately.