Cassandra Practice Test

The architecture of Cassandra is designed with high availability as a core principle, and the use of multiple data centers and racks significantly contributes to this. By employing multiple data centers, Cassandra ensures that data can be replicated across different physical locations. This not only protects against data loss due to hardware failures or natural disasters but also allows for better load balancing and fault tolerance.

When nodes are organized in different racks and data centers, the system can continue to function even if one data center goes down. Client requests can be routed seamlessly to other available nodes, ensuring uninterrupted access to the data. This geographic distribution allows Cassandra to maintain performance and availability, even under adverse conditions.

The other options do not effectively support high availability. Centralized coordination of nodes would create a single point of failure instead of distributing the load. A single point of data storage contradicts the decentralized nature of Cassandra, undermining the system's resilience. Lastly, while replication of data to cloud storage can offer additional backup options, it doesn't inherently provide the real-time high availability that is critical for operational databases.