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How can data redundancy be achieved in a Nutanix cluster?

  1. By using Erasure Coding only

  2. By configuring RF2 or RF3

  3. By implementing a single-node architecture

  4. Data is automatically redundant in all clusters

The correct answer is: By configuring RF2 or RF3

Data redundancy in a Nutanix cluster can be effectively achieved by configuring RF2 (Replication Factor 2) or RF3 (Replication Factor 3). These configurations determine how many copies of each piece of data are stored across the nodes in the cluster. When RF2 is configured, two copies of each block of data are created, ensuring that data remains accessible even if one node fails. In contrast, RF3 creates three copies, providing an additional layer of resilience. This level of redundancy is essential for protecting against data loss due to node failures, hardware issues, or other unforeseen problems. This approach enhances the overall fault tolerance of the Nutanix system and is central to its data protection strategies. The system intelligently balances the data distribution across the available nodes while maintaining the replication strategy you have chosen, thus promoting data integrity and availability. Other options do not provide a comprehensive or effective method for achieving data redundancy in a Nutanix environment. For example, relying solely on Erasure Coding is not sufficient by itself because while it optimizes storage efficiency, it typically serves as a complement to replication strategies rather than a standalone solution. Implementing a single-node architecture would actually compromise redundancy, as there would be no additional nodes to replicate data. While