Which two StorageGRID features provide data durability for large unstructured datasets? (Choose two)

Data durability for large unstructured datasets is crucial, particularly in environments where data loss can have significant impacts. Two features of StorageGRID that enhance data durability significantly are erasure coding and object replication.

Erasure coding works by dividing data into smaller chunks, calculating parity information, and distributing these across multiple storage locations. This method allows for the reconstruction of the original data even if some of the chunks are lost or become unavailable, thus providing a high level of data durability and fault tolerance. It’s particularly effective for large datasets, as it optimizes storage efficiency and reduces redundancy while maintaining data integrity.

Object replication complements erasure coding by creating exact copies of data objects across different geographical locations or storage tiers. This redundancy ensures that even if one copy becomes corrupted or lost due to hardware failure or natural disasters, other copies remain intact and accessible. It not only enhances durability but also supports data availability and retrieval in distributed environments.

While storage tiering and S3 API compatibility are important for managing data and interacting with applications, they do not directly contribute to the durability of the data in the same way that erasure coding and object replication do. Storage tiering focuses more on optimizing performance and cost by moving data to different storage classes based on access patterns, while S3