Which Azure storage solution enables file shares that can be mounted and accessed simultaneously by multiple virtual machines? Learn how Azure Files delivers managed SMB and NFS file shares for seamless multi-VM access and collaboration.
Table of Contents
Question
Which Azure storage solution provides file shares that multiple virtual machines can access simultaneously?
A. Azure Blob Storage
B. Azure Data Lake Storage
C. Azure SQL Database
D. Azure Queue Storage
E. Azure Files
Answer
E. Azure Files
Explanation
Azure Files provides a managed file share that can be mounted simultaneously across multiple virtual machines using the SMB protocol.
The Azure storage solution that provides file shares accessible by multiple virtual machines at the same time is Azure Files.
- Managed File Shares: Azure Files offers fully managed file shares in the cloud that can be mounted concurrently by multiple Azure virtual machines (VMs) using industry-standard protocols such as SMB (Server Message Block) and NFS (Network File System).
- Cross-Platform Support: These file shares can be accessed by Windows, Linux, and macOS VMs, making them suitable for heterogeneous environments and hybrid cloud scenarios.
- Simultaneous Access: There is no practical limit on the number of VMs that can mount and access an Azure file share simultaneously, supporting scenarios like shared storage for applications, distributed workflows, and team collaboration.
- Easy Integration: Azure Files integrates with Azure Active Directory for identity-based access control and can be mounted as a network drive, just like a traditional on-premises file server.
- Enterprise Features: Azure Files supports features like SMB Multichannel for high performance, role-based access control, and Azure File Sync for caching frequently used files on local servers, further enhancing performance and usability.
Azure Files provides managed file shares that can be mounted and accessed simultaneously by multiple virtual machines using SMB or NFS protocols, enabling shared storage for distributed applications and collaborative workloads.
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