In an autonomous driving R & D case, the advantage of OceanStor Pacific is seamless...

This statement is correct. Autonomous-driving R & D contains multiple workflow phases—including data acquisition, cleansing, preprocessing, AI training, simulation, validation, and archiving—and these stages commonly use different protocols. HCSA-Sales-Storage highlights an autonomous-driving case where OceanStor Pacific ' s seamless multi-protocol interworking prevents cross-protocol data copying and improves processing efficiency. Huawei ' s official autonomous-driving storage solution likewise identifies object, NAS, and HDFS access requirements and explains that one copy of metadata and one copy of data can be accessed by multiple services. This removes storage silos and avoids time-consuming copy operations between stages. Huawei cites improved efficiency and reduced TCO as direct benefits. Consequently, seamless multi-protocol interworking is specifically one of Pacific ' s major competitive advantages in autonomous-driving R & D, making True the correct answer. Scribd