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How much data can a single Cassandra node effectively handle?

  1. 1-2 Terabytes

  2. 2-4 Terabytes

  3. 4-6 Terabytes

  4. 6-8 Terabytes

The correct answer is: 2-4 Terabytes

A single Cassandra node can effectively handle around 2-4 Terabytes of data, making the choice of 2-4 Terabytes an accurate reflection of typical capacity constraints. Factors influencing this capacity include hardware specifications, the workload, data modeling practices, and performance tuning. Although some nodes may be able to handle more data depending on optimizations and configurations, the 2-4 Terabytes range is a reasonable estimate for general deployment scenarios. In a cluster setup, the total data capacity scales as you add more nodes, allowing Cassandra to handle large volumes effectively by distributing the data across multiple nodes. This redundancy and horizontal scaling capability make Cassandra suitable for scenarios requiring high availability and fault tolerance, accommodating larger datasets beyond the capacity of a single node. Other options suggest capacities either below or above the typical range observed in practical applications. While the architecture can be optimized, the indicated range of 2-4 Terabytes aligns with empirical evidence gathered from the community and practical deployment scenarios.