Free PDF HP - Professional HPE0-V28 - Exam Delta - HPE Edge-to-Cloud Solutions Details

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HP HPE0-V28: Delta - HPE Edge-to-Cloud Solutions exam is an advanced level certification exam designed for IT professionals who are looking to validate their expertise in deploying HPE edge-to-cloud solutions. Delta - HPE Edge-to-Cloud Solutions certification exam is ideal for individuals who are involved in the design, implementation, and management of HPE Hybrid IT solutions.

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Delta - HPE Edge-to-Cloud Solutions Latest Exam Guide & HPE0-V28 Free Download Pdf & Delta - HPE Edge-to-Cloud Solutions Exam Practice Training

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HP Delta - HPE Edge-to-Cloud Solutions Sample Questions (Q16-Q21):

NEW QUESTION # 16
What is one of the subjects that you should discuss in a discovery conversation about hybrid IT opportunities?

A. the time since the customer's last network refresh
B. how the customer uses open office space
C. the struggles the customer has in securing loT
D. the customer's data management strategy

Answer: D

NEW QUESTION # 17
Your customer wants to implement an environment for machine learning that requires low latencies and high transfer rates.
Which technology should you recommend to the customer?

A. SMB
B. NFS
C. RoCE
D. SCSI

Answer: C

Explanation:
The technology that should be recommended to the customer for machine learning that requires low latencies and high transfer rates is RoCE. RoCE stands for RDMA over Converged Ethernet, which is a protocol that enables Remote Direct Memory Access (RDMA) over Ethernet networks. RDMA is a technology that allows direct memory access from one computer to another without involving the operating system or the CPU, thus reducing the overhead and latency of data transfers. RoCE offers the following benefits for machine learning environments:
It supports high bandwidth and low latency data transfers, which are essential for machine learning applications that involve large amounts of data and complex computations12.
It improves the efficiency and scalability of the network, as it reduces the CPU utilization and the network congestion caused by data transfers13.
It leverages the existing Ethernet infrastructure, which is widely deployed and cost-effective, and does not require any specialized hardware or software14.
It is compatible with HPE solutions, such as HPE Alletra, HPE Synergy, and HPE Apollo, which support RoCE and provide optimized infrastructure and management services for machine learning workloads567.
The other options are not suitable for machine learning that requires low latencies and high transfer rates because:
A). SCSI stands for Small Computer System Interface, which is a set of standards for connecting and transferring data between devices, such as hard disks, tape drives, scanners, and printers. SCSI is mainly used for storage devices and does not support RDMA or Ethernet networks8.
C). SMB stands for Server Message Block, which is a network file sharing protocol that allows access to files, printers, and other resources on a network. SMB is mainly used for file sharing and does not support RDMA or Ethernet networks9.
D). NFS stands for Network File System, which is a distributed file system protocol that allows access to files over a network. NFS is mainly used for file sharing and does not support RDMA or Ethernet networks10.
References:
What is RoCE? | Mellanox Technologies
RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
HPE Alletra 6000 Data Sheet
HPE Synergy 480 Gen10 Compute Module - Overview
HPE Apollo 6500 Gen10 Plus System - Overview
What is SCSI (Small Computer System Interface)? - Definition from WhatIs.com What is SMB (Server Message Block)? - Definition from WhatIs.com What is NFS (Network File System)? - Definition from WhatIs.com

NEW QUESTION # 18
Match the tool to its use category.

Answer:

Explanation:

Explanation:
SAF Collector: This tool, judging by its name, seems to be used for collecting data. Therefore, it likely falls under the category ofData Collection.
SAF Analyse: Given its name, this tool is probably used for analyzing the data collected. This would place it in the category ofData analysis and solution sizing.
NinjaSTARS: This tool's exact function isn't clear from its name alone. However, tools with "STAR" in their name are often related to analysis or monitoring in IT contexts. Thus, it might fit into theData analysis and solution sizingcategory.
NinjaCrawler: The term "Crawler" typically refers to a tool that navigates and collects data from different sources, particularly in web and network contexts. Therefore, this tool is likely best suited for theData Collectioncategory.
DD Analyse: The "Analyse" part of this tool's name suggests that it is used for analyzing data, which would place it in theData analysis and solution sizingcategory.
https://www.hpe.com/us/en/hpe-edge-to-cloud-adoption-framework.html

NEW QUESTION # 19
Your customer needs an 8:1 GPU to CPU ratio to support their natural language processing (NLP) application.
Which HPE platform meets their requirement?

A. ProLiant DL380 Gen10 Plus
B. EdgeLine e910 Server Blades
C. Apollo 6500 Gen10 Plus
D. Synergy SY480 Gen10 Plus with 8 Bay PCIe Expansion

Answer: C

Explanation:
The HPE Apollo 6500 Gen10 Plus is a high-performance computing platform that supports up to 16 GPUs and
2 CPUs in a 4U chassis, providing an 8:1 GPU to CPU ratio. This platform is ideal for NLP applications that require massive parallel processing and high-speed data transfer between GPUs and CPUs. The HPE Apollo
6500 Gen10 Plus supports Nvidia L40 GPUs, which are optimized for NLP workloads and deliver up to 10x faster performance than previous generations. The HPE Apollo 6500 Gen10 Plus also offers flexible configuration options, advanced cooling and power efficiency, and comprehensive management and security features. References: HPE Apollo 6500 Gen10 Plus System, HPE Apollo 6500 Gen10 Plus Data sheet, NVIDIA Teams With HPE to Take AI From Edge to Cloud

NEW QUESTION # 20
A customer has significant growth of large, high-priority data-sets in their datacenter. The data is highly sensitive.
What solution should be implemented and why?

A. Hybrid solutions, as they are most common in secure, high-priority implementations.
B. Traditional, as it is the easiest solution to implement and scale for data growth.
C. Traditional, as it can be completely isolated from potential external threats.
D. Cloud, as it is the simplest solution and simplicity is best for security large data-sets.

Answer: A

Explanation:
A hybrid solution combines the best of both traditional and cloud models, allowing the customer to leverage the benefits of cloud services such as scalability, agility, and cost-efficiency, while maintaining control and security over their sensitive data in their own data center or colocation facility. HPE GreenLake is a hybrid cloud platform that delivers a cloud experience wherever the customer's apps and data live, with flexible and predictable pay-as-you-go pricing. HPE GreenLake also provides a unified and secure edge-to-cloud platform that connects and harnesses data across edge, data center, and public clouds, enabling data-driven insights and actions. HPE GreenLake can help the customer address their data growth and security challenges by providing them with a tailored solution that meets their specific needs and use cases. References: https://www.hpe.com/us/en/solutions/edge-to-cloud.html
https://www.hpe.com/us/en/hpe-edge-to-cloud-transformation-program.html
https://hpepress.hpe.com/product/Edge%20to%20Cloud%20Solutions%20Engineered%20Experiences%20to%2

NEW QUESTION # 21
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