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

The HyperMetro feature in Huawei storage systems, such as OceanStor Dorado, provides active-active data access with arbitration mechanisms to handle site failures. The *HCIP-Storage V5.5 Training Material (Module 4: Storage Design and Implementation)* details HyperMetro arbitration modes:

- Option A: True. The material states: “In the absence of a quorum server, HyperMetro operates in static priority mode, where the preferred site is designated to win arbitration and continue services during a failure.”

- Option B: True. The material explains: “In static priority mode, if the preferred site fails, the non-preferred site does not automatically take over to avoid split-brain scenarios. Services stop, and manual intervention is required to forcibly start services on the non-preferred site.”

- Option C: False. The material clarifies: “In quorum server mode, the quorum server can be deployed on physical machines or virtual machines, provided it meets the performance and network requirements.” This makes the statement that it can only be deployed on physical machines incorrect.

- Option D: True. The material confirms: “In quorum server mode, if the link between storage systems fails, both systems send arbitration requests to the quorum server to determine which site continues providing services.”

Thus, option C 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.