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HP Advanced HPE Storage Integrator Solutions Written Exam Sample Questions (Q26-Q31):
NEW QUESTION # 26
A pool of Microsoft SQL servers started to use the Alletra 6000 family array six months ago. The data growth has been higher than expected, and the performance of the databases is facing some latency issues.
Which method would allow both capacity and performance to grow when expanding the array, while keeping the management simple?
- A. By adding more arrays and capacity to a single scale-out group.
- B. By selecting more flash to cache ratio on the expansion shelves.
- C. By including more NIC cards to load balance host traffic.
- D. By initially selecting the timeless storage option for the array.
Answer: A
Explanation:
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.
Reference: HPE Alletra 6000 Technical Architecture Guide.
NEW QUESTION # 27
Your customer wants to use their HPE Alletra Storage MP B10000 array to store persistent data for Kubernetes-based applications. After deploying the CSI driver using Helm and creating the secret with the command kubectl create -f hpe-backed.yaml, what is the next required step to enable the containerized applications to consume persistent volumes on the Alletra MP array?
- A. Update the Helm repository by using helm repo update to recognize the CSI driver
- B. Define a StorageClass by running kubectl create -f storageclass.yaml
- C. Create a PersistentVolumeClaim by using kubectl create -f my-pvc.yaml
- D. Create a PersistentVolume by using kubectl create -f pv.yaml
Answer: B
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
After installing the HPE CSI driver and creating backend secrets, the next critical step is to define a StorageClass that references the backend driver and parameters. Without the StorageClass, Kubernetes cannot dynamically provision PersistentVolumes (PVs). Once the StorageClass is created, workloads can request storage using PersistentVolumeClaims (PVCs).
Distractors:
A: Helm repo update only refreshes Helm charts; it does not enable CSI provisioning.
B: A PVC requires a StorageClass to bind dynamically - it cannot be created successfully beforehand.
C: Manually creating PVs is possible, but not the HPE best practice with CSI, which relies on StorageClass for dynamic provisioning.
Key Concept: Kubernetes CSI workflow: Secret # StorageClass # PVC # Pod.
NEW QUESTION # 28
Two HPE Alletra 6000 arrays are configured for peer persistence between datacenters A and B, which have a fiber distance of 50km (31mi). The datacenter B hardware will be relocated to a new location that will increase the fiber distance to 150km (93mi).
Which condition is valid once the relocation is finished?
- A. The fiber distance exceeds the distance supported for peer persistence setup.
- B. The peer persistence configuration is supported, when latency remains <10ms.
- C. The peer persistence replication links need to be changed to RC transport.
- D. The peer persistence setup needs to be changed to active peer persistence.
Answer: B
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE Peer Persistence is supported over distances of up to 150-200 km, as long as the round-trip latency is
#10ms. Therefore, even after relocation to 150km, Peer Persistence remains supported provided latency requirements are met.
Distractors:
B: RC (Remote Copy) transport is already the underlying technology, but no change is required.
C: Peer Persistence is already an active-active design; no change to "active" mode is needed.
D: Distance does not exceed the supported range; only latency matters.
Key Concept: Latency <10ms is the critical requirement for Peer Persistence.
Reference: HPE Alletra 6000/Primera Peer Persistence Best Practices.
NEW QUESTION # 29
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?
- A. Use the HPE InfoSight Primary Storage sizing tool to calculate the competitive performance metrics.
- B. Import the HPE CloudPhysics.vhdx collector to the Hyper-V cluster to gather the analytics.
- C. Install the SAFcollector agents into the environment and use SAFanalyze to import the agent output.
- D. Export the Microsoft System Center Virtual Machine Manager database for NinjaProtected analysis.
Answer: B
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.
NEW QUESTION # 30
A growing technology company is planning to upgrade its data center infrastructure. Their considerations:
Budget: Predictable monthly payments, no upfront CapEx.
Flexibility: Long-term use, no forced returns.
Ownership: Prefer eventual ownership, spread payments.
Control: Full customization and upgrades.
Which procurement option best meets their needs?
- A. Capital purchase
- B. Consumption based
- C. Operating lease
- D. Capital lease
Answer: D
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
A Capital Lease (also known as a finance lease) spreads costs over time like OpEx, while giving the customer the ability to own the equipment at the end of the lease term. This matches the desire for predictable payments, eventual ownership, and full control.
Distractors:
A (Consumption model): GreenLake provides OpEx flexibility but does not lead to ownership.
B (Operating lease): Pure rental; equipment must be returned, no ownership.
C (Capital purchase): Requires large upfront payment, which the customer wants to avoid.
Key Concept: Capital Lease = predictable payments + ownership path.
Reference: HPE Financial Services Procurement Options.
NEW QUESTION # 31
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