HPE0-V25 Exam - Topic 8 Question 43 Discussion

Actual exam question for HP's HPE0-V25 exam

Question #: 43
Topic #: 8

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 high core counts and memory capacity.

Which server should you recommend?

ADL325

BSY480

CDL385

DDL380

Show Suggested Answer

Suggested Answer: C

* Understanding the Requirements:

The customer needs a server to support a new Big Data analytics solution.

The solution requires parallel processing capabilities.

High core counts and memory capacity are critical requirements.

* Server Options:

DL325 (A): A single-socket server designed for virtualization and I/O intensive workloads. While capable, it might not meet the high core and memory demands for Big Data analytics as effectively as other options.

SY480 (B): A blade server designed for high-density environments, but it might not offer the same level of core and memory capacity as other rack-mounted options for Big Data analytics.

DL385 (C): A dual-socket server optimized for high core counts and memory capacity, making it suitable for Big Data analytics and parallel processing workloads.

DL380 (D): A versatile dual-socket server with a balance of performance and expandability, but the DL385 is specifically designed to maximize core count and memory capacity.

* Why DL385 (C) is the Best Fit:

High Core Count: The DL385 Gen10 Plus server supports AMD EPYC processors, which offer high core counts, ideal for parallel processing required in Big Data analytics.

Memory Capacity: It supports up to 4TB of memory, ensuring the capacity needed for large-scale data processing tasks.

Optimized for Performance: The DL385 is designed for demanding workloads, providing the necessary performance for Big Data analytics.

* Reference:

HPE DL385 Gen10 Plus Server: HPE DL385 Gen10 Plus

Big Data Analytics Solutions: HPE Big Data Solutions

Comparison of HPE Servers: HPE ProLiant Servers

by Dortha at Jul 08, 2025, 09:52 PM

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Steffanie

2 months ago

Wait, are we sure DL325 can handle Big Data?

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Cheryll

2 months ago

I think DL380 is a solid choice too.

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Ernie

3 months ago

Definitely go with DL385, it’s built for heavy workloads.

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Mickie

3 months ago

Not convinced DL380 is the best option here.

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Judy

3 months ago

DL385 has great core counts for parallel processing!

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Tijuana

3 months ago

I practiced a similar question, and I think the DL325 was mentioned as a budget option, but it might not have the high specs needed here.

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Cordelia

4 months ago

The DL380 seems like a solid option, but I feel like the DL385 is more tailored for heavy analytics workloads.

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Ernie

4 months ago

I think the SY480 might be good for parallel processing, but I can't recall its memory capacity compared to the others.

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Brittni

4 months ago

I remember the DL385 has a high core count, but I'm not sure if it's the best fit for Big Data specifically.

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Alesia

4 months ago

I'm leaning towards the DL325. It's a newer model and seems to be optimized for this type of workload. But I'll need to do some more research to be sure.

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Audry

4 months ago

The DL380 is a solid server, but I'm not sure if it has the core count and memory capacity to really shine with a Big Data workload. I'd lean more towards the DL385 or SY480.

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Sharika

5 months ago

Hmm, I'm not sure. The SY480 also looks like it could work well for a Big Data analytics solution. I'll need to double-check the specs on each of these servers.

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Yolande

5 months ago

I think the DL385 would be the best choice here. It's designed for high-performance computing and can handle the parallel processing and memory requirements.

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