HPC Big Data Veteran Deck Practice Test 2025 - Free Big Data Practice Questions and Study Guide

In high-performance computing environments, the choice of network bandwidth for connecting to block volumes is crucial for ensuring optimal data transfer speeds, especially when handling large datasets. For this specific configuration, a bandwidth of 25 Gbps is typically employed because it balances high throughput with the evolving needs of modern applications that require efficient data access and transfer.

The 25 Gbps bandwidth allows for faster data movement compared to lower bandwidth options, facilitating quicker input and output operations that are essential in big data scenarios. As applications grow in complexity and size, utilizing higher bandwidth capabilities ensures that the performance is not bottlenecked by network limitations.

Additionally, while options with lower bandwidths, such as 10 Gbps or 1 Gbps, might suffice for smaller workloads, they would likely result in performance degradation under heavy loads or when working with extensive datasets. In contrast, the 40 Gbps option, although faster, may not be necessary or cost-effective for many applications requiring access to block volumes, especially given that 25 Gbps provides a sufficiently high-performance solution while also being more commonly supported in many current infrastructure setups.