Huawei H13-624_V5.5 Exam With Confidence Using Practice Dumps

The OceanStor Pacific parallel file system service is designed for high-performance file access. The *HCIP-Storage V5.5 Training Material (Module 3: Scale-Out Storage Technologies)* explains: “The parallel file system aggregates small I/Os in cache to optimize latency and small file utilization. Large I/Os are forwarded to the home node, bypassing scale-out locks to reduce latency. Large I/Os use passthrough mode for direct disk writes, enhancing bandwidth. The system uses dynamic indexing, not fixed-length large-granularity indexes, to adapt to varying I/O patterns.” Let’s evaluate:

- Option A: True. The material confirms small I/O aggregation in cache for better latency.

- Option B: False. The system uses dynamic, not fixed-length, indexing, making this statement incorrect.

- Option C: True. Direct forwarding to the home node reduces lock overhead and latency.

- Option D: True. Passthrough mode for large I/Os improves bandwidth, as per the material.

Thus, option B is false.

The statement describes the reliability mechanism of Huawei’s scale-out storage systems, such as the OceanStor Pacific series, which employ cabinet-level security to enhance data availability. According to the *HCIP-Storage V5.5 Training Material (Module 3: Scale-Out Storage Technologies)*, scale-out storage systems use distributed architectures with N data blocks and M parity blocks stored across different cabinets to ensure redundancy. This design leverages erasure coding (EC) or similar mechanisms to tolerate faults. The material explicitly states: “In a scale-out storage system, N+M redundancy ensures that if up to M nodes or M disks fail, the system can reconstruct data without interruption or loss. However, if M cabinets fail, the system may lose the ability to access sufficient parity or data blocks, potentially interrupting services.” This confirms that the system can handle M node or disk failures without issue, but M cabinet failures may disrupt services due to the loss of distributed data or parity blocks. Therefore, the statement is true.