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

Detailed Explanation:

Rationale for Correct Answer:

HPE Alletra 6000 is a scale-out architecture array. Adding more arrays to a single scale-out group increases both performance (IOPS, throughput) and capacity, while maintaining single-pane management via HPE Data Services Cloud Console. This is the most efficient way to address both capacity growth and latency reduction for SQL workloads.

Distractors:

B: Adding NICs may help with throughput but not backend latency or capacity scaling.

C: Flash-to-cache ratios can optimize read caching but don’t fundamentally increase system-wide performance.

D: Timeless storage is a procurement/licensing option, not a performance/capacity scaling method.

Key Concept: Alletra 6000 scale-out clustering for balanced growth of capacity and performance.

Detailed Explanation:

Rationale for Correct Answer:

In the exhibit, several paths show “Standby” and some appear “Dead”, while only a subset is Active (0). This typically indicates that one storage controller may be missing or offline, which reduces redundancy and can cause performance degradation. In a healthy Peer Persistence environment, both controllers should present active and non-optimized paths.

Distractors:

A & B: Having multiple active paths does not inherently reduce performance; in fact, MPIO load balances traffic. The issue here is path failures, not excessive active paths.

Key Concept: MPIO pathing in HPE Peer Persistence and controller health.

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.

Detailed Explanation:

Rationale for Correct Answer:

The Simulator for VM Rightsizing Card Deck in HPE CloudPhysics evaluates actual VM utilization against provisioned resources. It identifies under- and overprovisioned VMs, providing insights into reclaimable resources and accurate sizing recommendations. This directly helps plan server and storage upgrades.

Distractors:

A: Storage Space Management focuses on datastore usage trends, not provisioning mismatches.

B: Reclaimable VMware vDisk Space identifies unused storage, not CPU/RAM sizing.

D: Infrastructure Planning helps plan new builds but doesn’t directly analyze current over/under provisioning.

Key Concept: VM Rightsizing = CloudPhysics tool for over/under provisioning analysis.

Detailed Explanation:

Rationale for Correct Answer:

With Alletra and Primera Peer Persistence, the Quorum Witness is no longer a self-hosted VM. It is delivered as a cloud-based SaaS service managed by HPE. This eliminates customer responsibility for patching and ensures HPE automatically applies updates and security fixes. This resolves the audit concern.

Distractors:

A: Applies to older 3PAR environments, not Alletra/Primera.

C/D: Quorum Witness is no longer an appliance — it is SaaS managed, so these don’t apply.

Key Concept: Alletra Quorum Witness is SaaS-managed, removing patching responsibility.

Detailed Explanation:

Rationale for Correct Answer:

Frequent cache misses occur when the working dataset does not fit effectively in cache. Increasing the flash-to-disk ratio ensures a higher portion of hot data is served from flash media rather than backend disk, reducing cache miss penalties. This is the standard HPE recommendation for read-intensive workloads where cache is insufficient.

Distractors:

A: Adding shelves adds capacity, not cache-to-data efficiency.

B: Upgrading controllers increases CPU, but not necessarily cache efficiency.

C: Pinned cache is intended for metadata or specific workloads, not large-scale read caching.

Key Concept: Flash-to-disk ratio optimization reduces cache misses.