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NEW QUESTION # 15
The storage solution based on the exhibit is deployed at a customer site.
How can the sequential read performance be enhanced with this setup?
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 # 16
You are meeting with a customer who wants to replace their current file storage system. You plan to recommend HPE GreenLake for File Storage. The customer asks whether the solution can provide cross- protocol access to the same data using both NFS and SMB simultaneously.
What is the impact on your design?
Answer: B
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE GreenLake for File Storage, powered by VAST Data software, natively supports cross-protocol access (NFS, SMB, and S3) to the same dataset. This means a file written via NFS can be accessed via SMB or S3 without replication. For cross-protocol access, both protocols must be enabled at the share/bucket level.
This is a core differentiator of HPE's GreenLake for File Storage solution.
Distractors:
A: Wrong, because GreenLake for File Storage already has native multi-protocol support - no need for 3rd party SDS.
C: Incorrect, as replication between separate shares is not required; it is a native capability.
D: Misleading - IP pools are used for load balancing and client connectivity, but not required to enable cross- protocol access.
Key Concept: Multi-protocol access in HPE GreenLake for File Storage (NFS/SMB/S3).
Reference: HPE GreenLake for File Storage Technical Overview, VAST Data Universal Storage white papers
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NEW QUESTION # 17
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?
Answer: D
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.
NEW QUESTION # 18
You are working with a customer to upgrade their backup target environment and they are interested in HPE StoreOnce.
Which HPE tool should you use to size and configure a solution for this customer?
Answer: A
Explanation:
HPE NinjaSTARS (Storage Assessment and Right Sizing) is the dedicated HPE tool for sizing and configuring StoreOnce backup appliances. It evaluates backup datasets, retention policies, deduplication ratios, and replication to recommend the right StoreOnce model and configuration.
NEW QUESTION # 19
Refer to the exhibit. You are sizing an HPE Alletra Storage MP B10000 as shown in the graphic below.
What change must be made to the current storage configuration to achieve maximum IOPS performance?
Answer: A
Explanation:
From the exhibit, the system shows maximum estimated IOPS performance (over 250K IOPS read, 115K IOPS mixed, 62K write). These values align with HPE's published performance specifications for this model with full cores enabled. The network interface count and disk count are balanced relative to controller capability. Therefore, no further upgrades are required to achieve maximum performance.
NEW QUESTION # 20
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