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Exam HPE7-J01 Topic 1 Question 20 Discussion

Actual exam question for HP's HPE7-J01 exam
Question #: 20
Topic #: 1
Which HPE system can be integrated into a factory-built HPE Qumulo solution for a customer?

Suggested Answer: A Vote an answer

The HPE Solutions for Qumulo are a result of a strategic partnership designed to provide a high-performance, scale-out NAS (Network Attached Storage) platform for unstructured data. According to the HPE Solutions with Qumulo Reference Architecture, the primary hardware platform utilized for these factory-built, integrated solutions is the HPE Apollo 4000 series, specifically the HPE Apollo 4200.
The Apollo 4200 is chosen for this role because it is a density-optimized, storage-centric server that provides an ideal balance of compute and massive internal storage capacity within a standard 2U rack footprint.
Architecturally, the Apollo 4200 supports an "SSD-first" hybrid configuration or an all-flash configuration, which aligns perfectly with Qumulo's file system requirements. Qumulo's software uses the SSDs for a high- speed metadata layer and write-cache, while utilizing high-capacity HDDs for the data plane, ensuring that even with billions of files, the system maintains near-flash performance.
While the HPE ProLiant DL325 is also used for specific all-NVMe nodes in the Qumulo portfolio, the Apollo
4200 remains the foundational building block for the hybrid and archive nodes that comprise the bulk of enterprise deployments. The HPE Apollo 4500 (Option D) is a 4U system that, while part of the Apollo family, is not the standard integrated platform for the mainstream Qumulo joint offering. The HPE Alletra
5000 (Option B) is a block-storage-focused platform derived from the Nimble lineage, and the ProLiant DL360 (Option C) is a general-purpose 1U compute server that lacks the internal drive density required for a high-capacity scale-out file storage solution. By selecting the Apollo 4200, customers benefit from a pre- validated, factory-integrated solution that simplifies the deployment of massive file lakes for workloads like video surveillance, medical imaging, and big data analytics.

by Humphrey at Jun 16, 2026, 04:18 AM

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