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Exam HPE7-J02 PDF - Certificate HPE7-J02 Exam

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HP Advanced HPE Storage Integrator Solutions Written Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
You are sizing an HPE Alletra 5030. Unless otherwise indicated by the HPE sizer or the customer's requirements, HPE best practices state that you should default to which minimum FDR calculation?

A. Above 12% for low-read latency
B. 23% of the smallest drive size
C. Below 12% for low-read latency
D. 23% of the largest drive size

Answer: D

Explanation:
Detailed Explanation:
Rationale for Correct Answer:
In Alletra 5000/6000 sizing, the Failure Domain Reserve (FDR) is used to account for rebuild overhead in case of drive failure. HPE best practices define that, unless otherwise directed by the sizing tool or customer requirements, the minimum FDR value should be set to 23% of the largest drive size. This ensures enough reserve capacity for fault tolerance and sustained performance during rebuilds.
Distractors:
B/C: Low-read latency is influenced by cache and workload profile, not by arbitrary FDR percentages.
D: Using the smallest drive is incorrect - rebuild impact must be sized against the largest drive.
Key Concept: FDR sizing based on 23% of largest drive = HPE best practice.
Reference: HPE Alletra 5000/6000 Sizing and Configuration Guide.

NEW QUESTION # 51
Your customer is deploying HPE Morpheus Enterprise Software as a single orchestration platform for compute and storage resources. To achieve a high-availability deployment in a single site, how many VMs must be deployed if distributed databases are not required?

A. 1 VM with VMware HA and DRS active
B. 4 VMs with distributed database setup
C. 1 VM
D. 3 VMs

Answer: D

Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE Morpheus can run as a single VM in non-critical environments, but for high availability (HA) without distributed databases, the recommendation is to deploy 3 VMs in a cluster. This ensures quorum and redundancy across application nodes, protecting against single VM failure. Distributed database mode requires more VMs, but is not needed in this scenario.
Distractors:
A: 4 VMs are required only if distributed DB is enabled (PostgreSQL cluster), not here.
B/D: A single VM (with or without VMware HA) doesn't provide native Morpheus HA resilience.
Key Concept: Morpheus HA = 3-node cluster minimum without distributed DB.
Reference: HPE Morpheus Deployment and Architecture Guide.

NEW QUESTION # 52
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 including more NIC cards to load balance host traffic.
B. By initially selecting the timeless storage option for the array.
C. By selecting more flash to cache ratio on the expansion shelves.
D. By adding more arrays and capacity to a single scale-out group.

Answer: D

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 # 53
The storage solution based on the exhibit is deployed at a customer site.

How can the sequential read performance be enhanced with this setup?

A. By adding more NVMe media to the solution
B. By upgrading the nodes to 32-core IOMs
C. By increasing the amount of 10Gb NICs
D. By adding a third node to the solution

Answer: C

Explanation:
Detailed Explanation:
Rationale for Correct Answer:
The exhibit shows an Alletra MP configuration delivering ~4.6 GB/s (256 KB sequential read) with four 10 Gb host ports. That throughput is close to the aggregate front-end bandwidth ceiling of 4×10 GbE (#5 GB/s raw, less with protocol overhead). For large-block sequential workloads, the front-end link budget is often the bottleneck; adding additional 10 GbE ports (or moving to higher-speed links) increases available host bandwidth and raises sustained sequential read throughput. This aligns with HPE sizing guidance: scale host connectivity to meet sequential throughput targets before adding media.
Analysis of Incorrect Options (Distractors):
B: Adding a third node isn't applicable to a 2-node HA block pair and would not address a front-end bandwidth limit.
C: More controller cores don't raise link-level throughput if host I/O is already constrained by port bandwidth.
D: Adding NVMe media primarily boosts IOPS/parallelism; sequential read is bounded here by front-end ports.
Key Concept: Sequential throughput is front-end bandwidth bound; scale host ports to increase GB/s.
Reference: HPE Alletra MP Performance and Sizing best practices (host connectivity scaling for throughput).

NEW QUESTION # 54
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. Create a PersistentVolumeClaim by using kubectl create -f my-pvc.yaml
B. Define a StorageClass by running kubectl create -f storageclass.yaml
C. Update the Helm repository by using helm repo update to recognize the CSI driver
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 # 55
......

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