A rapidly expanding research division is rolling out a deep analysis platform that processes large data sets at unpredictable intervals. The application requires a high number of input/output operations and data encryption. It must also stay operational during spikes in demand and confirm that data is retained for compliance requirements. Which option meets these criteria?
Local drives with limited encryption and minimal data retention capability
Object-based resources with encryption that emphasize long-term archival over responsiveness
HPC nodes with ephemeral storage that do not keep data beyond processing cycles
Block-based storage with encryption and compute nodes configured for high IOPS
A block-based resource with encryption, provisioned for high IOPS, and paired with load-balanced compute nodes can handle unpredictable bursts, ensure sensitive data is secure, and maintain the necessary throughput. An ephemeral-only approach is not designed for compliance-focused retention. A platform focused on object-based storage does not emphasize high IOPS, which is important for compute-intensive tasks. A dedicated HPC (High-Performance Computing) environment with ephemeral storage meets certain performance criteria but does not align well with regulatory data retention needs.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is block-based storage, and why is it suitable for high IOPS?
Open an interactive chat with Bash
What does 'ephemeral storage' mean, and why is it not suitable for data retention?
Open an interactive chat with Bash
Why isn't object-based storage suitable for high IOPS tasks?