A financial customer has purchased multiple Huawei flash storage devices for service deployment. Which of the following statements is false about service system I/O characteristics in financial scenarios?
A.
The OLAP database mainly involves sequential read of large I/Os. The amount of data processed per batch determines hot data areas.
B.
Backup and archiving services mainly involve sequential large I/Os. Writes are involved in backup and archiving services, and reads are involved in restoration services.
C.
Document imaging services mainly involve sequential read of large I/Os, a few metadata operations, and 90% GB-level large file write operations.
D.
The OLTP database mainly involves random small I/Os and a few sequential write I/Os. There are more reads than writes, and hot data areas are obvious.
The flash-storage course describes database applications as having 8 KB I/O, with random reads accounting for 70%, and identifies OLTP as a workload suitable for caching hot, random small-I/O data.
The financial-file material also states that small-file aggregation is applicable to “small check image files in carrier and financial scenarios.” This is inconsistent with option C ' s characterization of document imaging as being dominated by GB-level large-file writes.
Financial OLTP workloads are highly transactional and typically produce small, random I/O with identifiable hot regions, which matches the training material ' s OLTP/SmartCache model. Backup and archiving workflows are throughput-oriented and therefore favor larger sequential transfers, while restoration reverses the dominant direction toward reads. OLAP workloads process substantial datasets and consequently emphasize large sequential read operations.
The directly retrieved training passages do not reproduce the complete four-row financial workload table verbatim, but they specifically support the OLTP pattern and contradict the large-file characterization in option C.
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