How does MongoDB manage data redundancy?

MongoDB manages data redundancy primarily through the use of replica sets, which are a key feature of its architecture. A replica set is a group of MongoDB servers that maintain the same data set, allowing for data redundancy and high availability. When data is written to the primary node, it is automatically replicated to secondary nodes in real-time or near-real-time. This ensures that if one server fails, the data is still accessible from other servers within the set, thereby minimizing the risk of data loss.

This replication also enhances read performance, as read operations can be distributed among the replicas. Furthermore, having multiple copies of the same data across different servers helps safeguard against hardware failures, network issues, or other disruptions, making the system more resilient and reliable.

Other options do not accurately describe how MongoDB addresses redundancy. While cloud storage solutions can enhance data accessibility, they do not inherently address redundancy within the MongoDB architecture. Manual backups do provide a form of data safety but are not a proactive approach to managing redundancy in real-time. Similarly, data sharding is primarily focused on improving performance and scalability by distributing the dataset across multiple servers, but it does not specifically provide data redundancy. Thus, replica sets remain the most effective mechanism MongoDB employs to manage data redundancy