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HPE7-J02
Advanced HPE Storage Integrator Solutions Written Exam Questions and Answers

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Questions # 11:

Your organization is implementing a new high-performance computing (HPC) cluster to support advanced scientific simul-ations. The cluster will consist of several hundred nodes that require rapid access to shared datasets. The storage is Vast/GL4F.

The application is very sensitive to latency and minimizing CPU overhead during data transfers is critical to achieving the desired performance levels.

Which access protocol should the organization implement to enhance NFS performance by reducing storage latency and increasing I/O operations?

Options:

NFS

NFS over RDMA

RoCE

iSER

Answer

Explanation

Detailed Explanation:

Rationale for Correct Answer:

For HPC and AI/ML workloads, NFS over RDMA (Remote Direct Memory Access) provides significantly lower latency and reduced CPU overhead compared to standard NFS over TCP. This allows direct memory-to-memory data transfers between storage and compute nodes, bypassing the kernel network stack. In VAST Data (underpinning GreenLake for File Storage), NFS over RDMA is explicitly supported to accelerate shared dataset access in HPC and AI environments.

Distractors:

A: Standard NFS introduces more latency due to kernel TCP/IP stack overhead.

C: RoCE (RDMA over Converged Ethernet) is a transport layer technology — useful, but the protocol chosen for the file system must be NFS over RDMA, not just RoCE.

D: iSER (iSCSI Extensions for RDMA) enhances iSCSI block storage, not NFS file workloads.

Key Concept: NFS over RDMA for HPC/AI shared datasets.

[Reference: HPE GreenLake for File Storage powered by VAST – HPC Deployment Guide, RDMA and NFS performance white papers., ]

Questions # 12:

You need to evaluate a customer virtual server environment to size an HPE Block storage solution according to the metrics seen on the system over a period of time. The environment consists of Lenovo servers and Pure Storage as the storage vendor for a Microsoft Hyper-V cluster managed by Microsoft SCVMM.

Which HPE tools can you utilize to gather the usage metrics of this setup?

Options:

Import the HPE CloudPhysics.vhdx collector to the Hyper-V cluster to gather the analytics.

Use the HPE InfoSight Primary Storage sizing tool to calculate the competitive performance metrics.

Install the SAFcollector agents into the environment and use SAFanalyze to import the agent output.

Export the Microsoft System Center Virtual Machine Manager database for NinjaProtected analysis.

Answer

Explanation

Detailed Explanation:

Rationale for Correct Answer:

HPE CloudPhysics provides comprehensive environment assessment and competitive sizing for virtualized environments (VMware, Hyper-V, etc.). The CloudPhysics collector (available as a .vhdx for Hyper-V) is deployed into the cluster to gather metrics on CPU, memory, storage IOPS/latency, and utilization trends. These analytics feed into the sizing of HPE storage solutions.

Distractors:

B: InfoSight sizing tools work with HPE systems, not competitive 3rd-party storage like Pure.

C: SAF is a manual assessment requiring email submission and is not the correct modern method for this case.

D: NinjaProtected applies to backup analysis, not production Hyper-V cluster sizing.

Key Concept: CloudPhysics.vhdx collector for Hyper-V sizing with 3rd-party infrastructure.

[Reference: HPE CloudPhysics Assessment Guide., , ]

Questions # 13:

You are troubleshooting a storage environment using HPE Alletra Storage MP B10000 in a Peer Persistence configuration. A customer reports high latency when accessing data from applications.

When reviewing the MPIO path status on the host, what should be the path status for connections to the storage array located in the remote data center?

Options:

Active Optimized

Passive

Active Non-optimized

Standby

Answer

Explanation

Detailed Explanation:

Rationale for Correct Answer:

In an HPE Peer Persistence configuration (supported on HPE Alletra MP, Primera, and 3PAR), hosts see volumes presented from arrays at both sites. For optimal load balancing and transparent failover, the local array paths are shown as “Active Optimized” while the remote array paths are marked “Active Non-optimized”. The “Non-optimized” label indicates these paths are functional but involve remote access with higher latency. This design ensures automatic transparent failover if the local site becomes unavailable.

Distractors:

A: “Active Optimized” applies only to local array paths, not remote ones.

B: Passive paths are typical of ALUA implementations without Peer Persistence, not here.

D: “Standby” is not the term used in Peer Persistence multipathing.

Key Concept: MPIO with Peer Persistence (ALUA Active/Active configuration).

[Reference: HPE Primera/Alletra Peer Persistence Best Practices Guide., , ]

Questions # 14:

You need to evaluate a customer’s virtual server environment to size an HCI solution based on HPE SimpliVity according to usage metrics over time. The environment consists of Dell servers and storage running VMware virtualization.

Which action can you use to gather the usage metrics of this setup?

Options:

Use HPE NinjaOnline SimpliVity Sizer to gather the usage metrics of the current environment and have them imported directly into the sizer.

Use the HPE InfoSight Primary Storage sizing tool to calculate the competitive performance metrics.

Import the HPE CloudPhysics Observer to the vCenter cluster to gather the analytics.

Use HPE InfoSight for SimpliVity to gather data from external compute clusters.

Answer

Explanation

Detailed Explanation:

Rationale for Correct Answer:

For competitive or 3rd-party (non-HPE) environments like Dell + VMware, HPE CloudPhysics is the correct tool. The Observer VM is deployed into vCenter to gather real-world workload metrics (CPU, memory, storage I/O). These analytics can then be used for SimpliVity HCI sizing.

Distractors:

A: NinjaOnline SimpliVity Sizer requires input metrics, but it cannot directly collect from 3rd-party environments.

B: InfoSight sizing applies to HPE arrays, not competitive storage.

D: InfoSight for SimpliVity only monitors existing HPE SimpliVity clusters.

Key Concept: CloudPhysics Observer → gathers competitive workload metrics → feeds into SimpliVity sizing.

[Reference: HPE CloudPhysics for HCI Sizing., , ]

Questions # 15:

While attempting to increase an upstream volume size for an Alletra 6000 Peer Persistence setup from local web management, you are facing an error that prevents you from completing the task.

Which action is required to complete the task successfully?

Options:

Remove the upstream volume, volume collection before increasing the upstream volume.

Remove the downstream volume, volume collection before increasing the upstream volume.

Use the Data Services Cloud Console to grow the upstream volume.

Increase the size of the volume in VMware HPE Storage plugin.

Answer

Explanation

Detailed Explanation:

Rationale for Correct Answer:

In Alletra 6000 Peer Persistence environments, operations like resizing Peer Persistence volumes must be performed via the HPE Data Services Cloud Console (DSCC), which manages volume collections and replication consistency groups. Attempting to grow the upstream volume locally will fail because the changes need to propagate across both sites consistently.

Distractors:

A/B: Removing upstream or downstream volumes would break replication and is not required.

D: Expanding in VMware only extends the VMFS datastore, not the underlying replicated volume.

Key Concept: Peer Persistence volume resizing is done in DSCC, not local web GUI.

[Reference: HPE Alletra 6000 Peer Persistence Configuration and Management Guide., ]

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