Which of the following statements is false about centralized storage and distributed storage?

In the Huawei HCIA-Cloud Computing curriculum, specifically within the "Storage Technology Basics" module, the comparison between centralized and distributed storage is a fundamental topic. Statement A is FALSE because it incorrectly suggests that reading data from multiple independent devices simultaneously has a negative impact on read efficiency. According to the official technical documentation, the opposite is true: distributed storage utilizes a parallel I/O architecture. When a data request is made in a distributed system (such as Huawei FusionStorage), the system retrieves data blocks from multiple nodes at once. This concurrency significantly improves the overall throughput and read/write speed of the system rather than "affecting" it negatively.

The other statements are technically accurate according to Huawei standards. Centralized storage (Statement B) is indeed known for its simpler deployment and reliance on traditional RAID levels (0, 1, 5, 6, 10) to protect against disk failures within a single controller or enclosure. Statement C correctly outlines the taxonomy of centralized storage, distinguishing between file-level NAS and block-level SAN (which includes both FC and IP variants). Statement D accurately describes the core value proposition of distributed storage: its ability to scale out by adding more commodity hardware nodes. By spreading the storage load across a cluster, distributed storage eliminates the performance bottlenecks often found in centralized controllers and enhances system reliability through multi-replica or erasure coding mechanisms. In Huawei’s cloud solutions, distributed storage is the preferred architecture for large-scale resource pools because it ensures that performance scales linearly with capacity, providing the high availability and efficiency required for modern virtualized data centers.

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