Which of the following describes a benefit of using Cassandra for data storage?

Cassandra is designed as a distributed database that excels in handling large volumes of data across many commodity servers, which inherently provides high scalability and fault tolerance. This means that as the amount of data or the number of users increases, you can easily add more nodes to the cluster without downtime or complex reconfiguration.

The architecture of Cassandra is such that data is replicated across several nodes, which not only helps protect against hardware failures—ensuring that the database remains available even if some nodes go down—but also facilitates load balancing, allowing for efficient data access and processing. This combination of scaling horizontally (adding more servers) and maintaining availability makes Cassandra particularly suitable for applications that require high performance and resilience in the face of failures.

This capability aligns with modern requirements for data storage solutions, especially in cloud computing environments and big data applications where demand can rapidly change. As a result, users benefit from the system's ability to grow seamlessly and provide continuous service, even in challenging conditions.