An analytics team is configuring a four-node Linux cluster that must read and write the same set of CSV files concurrently during nightly ETL jobs. They need a storage solution that exposes one file system to all nodes at the same time without requiring extra clustering software or custom file-locking code. Which option best meets the requirement for shared storage?
Store the CSV files in an Amazon S3 bucket and have each node access them through the S3 REST API.
Present a separate iSCSI LUN to each node and format it with XFS.
Mount a Network File System (NFS) export from a NAS appliance over the 10 GbE network.
Install a local NVMe SSD in each node and synchronize the data with nightly rsync jobs.
Shared storage provides a single, concurrently accessible file system that handles concurrency and file locking for every connected host. A Network File System (NFS) share delivered from a NAS appliance is designed for this purpose; the file system lives on the NAS and can be mounted simultaneously by each cluster node, giving every server live, coordinated access to the same files.
Direct-attached NVMe drives are local (DAS); each server can see only its own disk, so data is not inherently shared. An Amazon S3 bucket is object storage exposed through REST APIs; it lacks the fully POSIX-compatible file-system semantics-such as file locking-expected by typical applications without additional layers. An iSCSI LUN presented separately to each server is block storage; unless a cluster-aware file system is added, simultaneous mounting risks data corruption and therefore does not satisfy the out-of-the-box shared-file-system requirement.
Because the NFS export inherently supports simultaneous, coordinated access from multiple hosts, it is the correct choice.
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