SAP-C02 · Question #800
A company is deploying a new big data analytics clustera cross multiple Availability Zones. All nodes must have read/write access to shared file storage that is highly available, POSIX- compatible…
The correct answer is D. Use Amazon EFS with Max I/O performance mode. Amazon EFS with Max I/O performance mode provides a highly available, POSIX-compliant shared file system accessible across multiple Availability Zones, delivering the high throughput required for big data analytics clusters.
Question
A company is deploying a new big data analytics clustera cross multiple Availability Zones. All nodes must have read/write access to shared file storage that is highly available, POSIX- compatible, and high-throughput. Which solution best meets these requirements?
Options
- AUse AWS Storage Gateway (file gateway) backed by Amazon S3
- BUse Amazon EFS in General Purpose performance mode
- CUse Amazon EBS with Multi-Attach
- DUse Amazon EFS with Max I/O performance mode
How the community answered
(32 responses)- A6% (2)
- B3% (1)
- C3% (1)
- D88% (28)
Why each option
Amazon EFS with Max I/O performance mode provides a highly available, POSIX-compliant shared file system accessible across multiple Availability Zones, delivering the high throughput required for big data analytics clusters.
AWS Storage Gateway (File Gateway) provides NFS/SMB access to S3 but is typically used for hybrid cloud scenarios and is not designed as the native high-throughput, multi-AZ shared file system for cloud-native big data clusters.
Amazon EFS in General Purpose mode has lower throughput limits than Max I/O mode, making it less suitable for the high-throughput requirements of a big data analytics cluster.
Amazon EBS is block storage, not a shared file system, and while Multi-Attach allows shared access within a single AZ for specific use cases, it does not provide POSIX-compliant shared file system capabilities across multiple Availability Zones.
Amazon EFS offers a highly available, POSIX-compliant shared file system accessible across multiple AZs. Selecting Max I/O performance mode is ideal for high-throughput, latency-insensitive applications like big data analytics clusters.
Concept tested: Shared file storage for big data, EFS performance modes, multi-AZ
Source: https://docs.aws.amazon.com/efs/latest/ug/performance.html
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