Your customer needs a server that will support a new Big Data analytics solution. The customer requires parallel processing and a server that will use nigh core counts and memory capacity. Which…

Question

Options

• ADL385
• BSY480
• CDL380
• DDL325

• A
  83% (44)
• B
  4% (2)
• C
  2% (1)
• D
  11% (6)

Explanation

HPE DL385 is the correct choice because it is a dual-socket AMD EPYC-based server specifically designed for workloads demanding extreme core counts (up to 128 cores) and large memory capacity - making it ideal for parallel processing in Big Data analytics environments. The DL325 (D) is also AMD EPYC-based but is a single-socket server, cutting core count and memory bandwidth roughly in half, disqualifying it for maximum parallel throughput. The DL380 (C) is a dual-socket server but uses Intel Xeon processors with lower core-per-socket density than EPYC, making it a general-purpose workhorse rather than a Big Data specialist. The SY480 (B) is an HPE Synergy blade/compute module, oriented toward composable infrastructure rather than standalone high-core-count analytics.

Memory tip: Think "385 = Big Data Beast" - the extra digit over DL325 represents the second socket, and AMD EPYC's massive core counts make DL385 the go-to recommendation whenever the question mentions parallel processing + high core/memory requirements.

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