HPE0-V27 HPE Edge-to-Cloud Solutions Questions and Answers

HPE Alletra 9000 is a cloud-native data infrastructure that delivers a cloud experience for mission-critical workloads. It is designed to provide extreme low-latency, reliability, and performance density in a 4U enclosure. Some of the business values of HPE Alletra 9000 are:

• 100% uptime guarantee: HPE Alletra 9000 ensures resiliency with a guaranteed 99.9999% data availability, backed by the HPE Alletra Availability Guarantee program1. It also offers built-in data protection, replication, and disaster recovery capabilities to safeguard data from any eventuality2.
• Enterprise scalability and performance: HPE Alletra 9000 delivers consistent sub-millisecond latency and up to 15M IOPS for the most demanding applications1. It also supports massive scalability, with up to 96 NVMe drives and 6PB of raw capacity per system, and up to 4 systems in a single namespace2. HPE Alletra 9000 can also easily extend to the cloud with consistent data services and native integration with cloud platforms3.

References: HPE Alletra 9000 | HPE Store Australia, Document Display | HPE Support Center, Transform Your Business with the HPE Alletra 9000 Series

According to the Advanced HPE Edge-to-Cloud Solutions, page 98, the following matches are correct:

• Communicates key parameters between DCB-capable devices. = DCBX
• Enables control over how much bandwidth can be used over a conventional link. = ETS
• Helps to ensure that Ethernet can provide the lossless frame delivery of FCoE. = PFC
• Provides instructions to CNA about application-to-CoS mapping. = APP

• DCBX: Data Center Bridging Exchange Protocol. It is a protocol that enables the exchange of configuration and capability information between DCB-capable devices, such as switches and servers. It allows the devices to negotiate and agree on the parameters for the DCB features, such as ETS, PFC, and APP1.
• ETS: Enhanced Transmission Selection. It is a feature that enables the allocation of bandwidth to different traffic classes on a link, based on the priority and the service level agreement. It allows the devices to control how much bandwidth can be used by each traffic class, and to avoid congestion and contention on the link1.
• PFC: Priority-based Flow Control. It is a feature that enables the pause and resume of traffic on a link, based on the priority and the buffer availability. It allows the devices to prevent the loss of frames due to buffer overflow, and to ensure the lossless delivery of FCoE traffic, which requires reliable and in-order transmission1.
• APP: Application Priority. It is a feature that enables the mapping of applications to traffic classes on a link, based on the priority and the quality of service. It allows the devices to instruct the Converged Network Adapter (CNA) about which traffic class to use for each application, and to optimize the performance and efficiency of the traffic1.

HPE GreenLake Central is an advanced software-as-a-service platform that provides customers with a consistent cloud experience for all their applications and data, whether they are on-premises, at the edge, or in the public cloud. HPE GreenLake Central enables customers to access business KPIs such as costs and usage rates for their HPE as-a-service solutions, as well as other metrics and insights that help them optimize their IT operations and outcomes. HPE GreenLake Central also allows customers to manage their hybrid estate, provision resources, monitor performance, enforce policies, and access support and services from a single, unified dashboard. HPE GreenLake Central is the core of the HPE GreenLake edge-to-cloud platform, which delivers a flexible, scalable, and secure solution for customers’ diverse workloads and data needs. References: https://common.cloud.hpe.com/login

https://www.hpe.com/us/en/greenlake.html

https://www.hpe.com/psnow/resources/ebooks/a00092451en_us_v36/Welcome-to-HPE-GreenLake-Central.html

 A proof of concept (POC) is a demonstration of the feasibility and value of a proposed solution in a real-world scenario. It helps the customer to evaluate the solution before committing to a full-scale deployment. A POC agreement is a document that defines the scope, objectives, roles, responsibilities, and expectations of both parties involved in the POC. According to the HPE Edge-to-Cloud Solutions course1, a POC agreement should include the following elements:

• Success criteria: This is a set of measurable and achievable outcomes that indicate the POC has met the customer’s requirements and expectations. It should be aligned with the customer’s business goals and pain points, and reflect the key benefits and differentiators of the solution. For example, the success criteria could be based on performance, scalability, availability, security, cost, or user satisfaction metrics.
• Estimated timeline: This is a realistic and agreed-upon schedule for the POC, including the start and end dates, milestones, deliverables, and feedback sessions. It should account for the time needed for planning, preparation, installation, configuration, testing, validation, and evaluation of the solution. It should also specify the duration and terms of the POC, such as the number of users, devices, or data involved, and the ownership and disposition of the equipment and software after the POC.

The other options are not essential for a POC agreement. A production bill of materials is a list of the components and quantities needed for the final deployment of the solution, which is not relevant for a POC. A production site survey is an assessment of the physical and environmental conditions of the customer’s site, which may not be necessary for a POC, especially if it is conducted remotely or in a lab. A 24/7 support is a service level agreement that guarantees the availability and responsiveness of the technical support team, which may not be feasible or required for a POC. References:

• HPE Edge-to-Cloud Solutions course
• HPE Proof of Concept Program
• How to Run a Successful Proof of Concept

 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

According to the HPE Edge-to-Cloud Solutions - Self-Directed Lab, page 14, the following terms match the statements:

• Customer has significant one-time budget available = Purchase
• Customer owns the assets = Purchase
• Customer requires best TCO = HPE GreenLake Services
• HPE owns the assets = HPE GreenLake Services
• Customer wants a fixed cost per month for a pre-defined set of resources = HPE GreenLake Services

• Purchase: This is a traditional acquisition model where the customer pays upfront for the hardware, software, and services they need. The customer owns the assets and isresponsible for their maintenance, management, and upgrade. This model is suitable for customers who have a large one-time budget available and who want to have full control over their assets.
• HPE GreenLake Services: This is a consumption-based model where the customer pays only for the resources they use, on a monthly basis. HPE owns the assets and provides them as a service to the customer, along with the necessary support, management, and optimization. This model is suitable for customers who want to reduce their capital expenditure, improve their TCO, and have a fixed cost per month for a pre-defined set of resources.

According to the HPE Edge-to-Cloud Adoption Framework, page 5, the following matches are correct:

• The cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). = Private Cloud
• The cloud infrastructure is provisioned for exclusive use case specific group of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). = Community Cloud
• The cloud infrastructure is provisioned for open use by everyone. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. = Public Cloud
• The cloud infrastructure is a composition of two or more distinct cloud infrastructures that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability. = Hybrid Cloud

• Private Cloud: A private cloud is a cloud deployment model where the cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or some combination of them, and it may exist on or off premises. A private cloud offers the organization more control, security, and customization over their cloud resources, but it also requires more investment, maintenance, and expertise1.
• Community Cloud: A community cloud is a cloud deployment model where the cloud infrastructure is provisioned for exclusive use by a specific group of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be owned, managed, and operated by one or more of the organizations, a third party, or some combination of them, and it may exist on or off premises. A community cloud offers the group of consumers more collaboration, cost-sharing, and alignment over their cloud resources, but it also requires more coordination, governance, and trust1.
• Public Cloud: A public cloud is a cloud deployment model where the cloud infrastructure is provisioned for open use by everyone. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them, and it exists on the premises of the cloud provider. A public cloud offers the consumers more scalability, flexibility, and affordability over their cloud resources, but it also requires more dependency, compliance, and security1.
• Hybrid Cloud: A hybrid cloud is a cloud deployment model where the cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds). A hybrid cloud offers the consumers more choice, agility, and innovation over their cloud resources, but it also requires more integration, management, and complexity1.

HPE StoreOnce demonstration license is a temporary license that enables StoreOnce Catalyst and Replication features for 90 days. However, due to legal restrictions in some countries, the encryption feature is excluded from the demonstration license. Encryption is a feature that protects data at rest on StoreOnce systems by using AES-256 encryption algorithm. To use encryption, a separate license must be purchased and applied to the StoreOnce system. Encryption is not available in the following countries: Belarus, Burma, China, Cuba, Iran, North Korea, Sudan, Syria, and Venezuela. References: Licensing problems | HPE StoreOnce 2xxx -5xxx System User Guide for StoreOnce software version 3.18.x, HPE StoreOnce Networking Licenses | HPE Store US

When proposing a storage expansion solution to a customer Fibre Channel array, it is important to consider the current and future workloads that will use the array, as well as the performance bottlenecks that may affect the array’s efficiency and availability. These two factors will help determine the optimal size, type, and configuration of the storage expansion, as well as the potential impact on the existing Fibre Channel network and the customer’s business objectives.

C. Other workloads that are planned to be added to this array. This point is relevant because adding new workloads to the array will increase the demand for storage capacity and performance, which may require additional disks, controllers, or ports. The type and characteristics of the new workloads, such as their I/O patterns, data protection requirements, and service level agreements, will also influence the design of the storage expansion solution. For example, if the new workloads are I/O intensive or require high availability, the storage expansion solution may need to include solid-state drives (SSDs), RAID levels, or replication features that can meet those needs.

E. Performance bottlenecks in the current solution. This point is relevant because identifying and resolving the performance bottlenecks in the current solution will help improve the efficiency and utilization of the existing storage resources, as well as prevent potential issues in the expanded solution. Performance bottlenecks can occur at different layers of the storage solution, such as the disk, controller, switch, or host. Some common causes of performance bottlenecks are disk contention, controller overload, port congestion, or host configuration. To diagnose and mitigate the performance bottlenecks, the storage administrator can use tools such as HPE InfoSight, HPE 3PAR System Reporter, or HPE Command View EVA to monitor and analyze the performance metrics, such as IOPS, throughput, latency, queue depth, or utilization, of the storage components.

A. VLAN and Spanning Tree configuration. This point is not relevant because VLAN and Spanning Tree are Ethernet network concepts that do not apply to Fibre Channel networks. Fibre Channel networks use different protocols and mechanisms to segment and manage the network traffic, such as zones, virtual SANs (VSANs), or fabric services.

B. The UPS model that is currently in use. This point is not relevant because the UPS model that is currently in use does not directly affect the storage expansion solution. The UPS model is a power backup device that provides uninterrupted power supply to the storage devices in case of a power outage. The UPS model may have some implications on the power consumption and availability of the storage devices, but it is not a critical factor in the design of the storage expansion solution.

D. Current Ethernet network topology. This point is not relevant because the current Ethernet network topology does not directly affect the storage expansion solution. The Ethernet network topology is the physical and logical layout of the Ethernet network devices, such as switches, routers, or firewalls, that connect the hosts to the storage devices. The Ethernet network topology may have some implications on the network performance and availability of the storage devices, but it is not a critical factor in the design of the storage expansion solution. References:

• HPE Edge-to-Cloud Solutions | H61X1S
• HPE Edge-to-Cloud Transformation Program | HPE
• HPE Digital Learner for HPE Edge-to-Cloud Content Pack
• IT Resource Library - Technology Business Research | HPE
• Dell PowerVault MD3 Fibre Channel Array Series
• Enabling Cisco HyperFlex Systems to Coexist with Fibre Channel Shared Storage - Cisco
• Announcing Fibre Channel Advancements in FlashArray - Pure Storage Blog
• Purity ActiveCluster over Fibre Channel - Pure Storage
• Fiber Channel Storage Area Network - Techopedia

The HPE MSA 2062 is a cost-effective, entry-level storage array that supports 12Gbps SAS connectivity to the host servers. It is designed for small and medium-sized businesses, remote offices, and departmental workloads. It can host up to 325 virtual desktops with a single array and deliver up to 325,000 IOPS of performance. It also offers advanced data services such as snapshots, replication, encryption, and tiering. The HPE MSA 2062 is compatible with VMware vSphere and can be easily managed with HPE OneView or HPE StoreOnce. References:

• [HPE MSA 2062 Storage]
• [HPE MSA Storage Configuration and Best Practices for VMware vSphere]
• [HPE MSA Storage Solutions]

HPE GreenLake is a pay-per-use IT model that delivers on-demand capacity and planning, combining the agility and economics of public cloud with the security and performance of on-premises IT. It helps customers improve their liquidity by avoiding large upfront capital expenditures and paying only for what they use. This frees up cash flow and enables them to invest in other strategic initiatives. According to an IDC study, customers using HPE GreenLake Management Services reported a 27% lower three-year cost of operations and a 287% five-year return on investment1. References:

• HPE GreenLake cloud platform
• The Business Value of HPE GreenLake Management Services
• HPE Expands Pay-Per-Use IT to Key Business Workloads
• Three Financial Benefits of Using HPE Greenlake

Scality ARTESCA is a lightweight, cloud-native object storage solution that can run on a single node and provide S3-compatible API for applications. It is designed to deliver high performance, scalability, and resilience for edge-to-cloud workloads. Scality ARTESCA can support up to 64TB of usable capacity per node, which meets the customer’s requirement of 60TB. Scality ARTESCA also offers features such as data protection, encryption, replication, erasure coding, and multi-tenancy. Scality ARTESCA is part of the HPE Edge-to-Cloud portfolio and can be deployed on HPE ProLiant servers or HPE Apollo systems. References: Scality ARTESCA, HPE Edge-to-Cloud Solutions, HPE and Scality ARTESCA: Cloud-native object storage for edge-to-cloud data

HPE Solutions for Scality Artesca is a lightweight, cloud-native object storage platform that supports S3 bucket storage for modern applications. It is designed to run on Kubernetes and bare metal servers, and can be deployed on a single node or scaled out to petabytes. It offers high performance, durability, and federated data management across edge, core, and cloud environments. It also has a low total cost of ownership and a flexible consumption model with HPE GreenLake. Compared to the other options, HPE Solutions for Scality Artesca has the smallest physical footprint and the most portability and scalability for S3 bucket storage requirements. References:

• HPE Object Based Storage for Scality Solutions
• HPE and Scality ARTESCA deliver best edge-to-cloud-to-core data management experience for AI/ML
• HPE Solutions with Scality
• Scality and Hewlett Packard Enterprise unveil ARTESCA: lightweight, true enterprise-grade, cloud-native object storage software for Kubernetes
• Scality and HPE Launch Object Storage Software for Kubernetes

• Customers looking to unlock agility and collapse data management silos. = Alletra
• Customers looking to run apps and collapse infrastructure management silos. = SimpliVity
• Customers looking to run apps and build a resilient enterprise. = Zerto

• Alletra: Alletra is a data services platform that offers cloud-native data management and storage solutions for various workloads and applications. It can help customers unlock agility and collapse data management silos, by enabling them to provision, monitor, and optimize their data services from a single cloud console, and to integrate with various cloud providers and services12.
• SimpliVity: SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data protection in a single appliance. It can help customers run apps and collapse infrastructure management silos, by simplifying and streamlining their IT operations, reducing costs and complexity, and improving efficiency and performance34.
• Zerto: Zerto is a data protection and disaster recovery solution that offers continuous data replication, backup, and recovery for various workloads and applications. It can help customers run apps and build a resilient enterprise, by enhancing their data availability, security, and compliance, and by enabling them to recover from any disruption or failure in minutes5 .

HPE Cloud Volumes Backup is a cloud-native backup storage target that enables customers to seamlessly back up data from their on-premises arrays to the cloud, without changing their existing data protection workflows. HPE Cloud Volumes Backup supports various backup applications, including Veeam, and integrates with them through a secure client that runs on the customer’s premises. HPE Cloud Volumes Backup can help customers meet the 3-2-1 data protection architecture, which recommends having at least three copies of data, on two different media, with one copy off-site. By using HPE Cloud Volumes Backup, customers can have an off-site copy of their data in the cloud, which can be easily restored to their on-premises storage or to HPE Cloud Volumes Block, a cloud-native block storage service. HPE Cloud Volumes Backup offers flexible and predictable pay-per-use pricing, as well as security, scalability, and simplicity features. References: https://www.hpe.com/us/en/what-is/cloud-server-backups.html

https://buy.hpe.com/us/en/enterprise-solutions/cloud-solutions/storage-cloud-saas-solutions/storage-cloud-saas-solutions/hpe-cloud-volumes-backup/p/1013033925\

• A cloud solution with a pay-per-use model allows the customer to pay only for the resources they consume, such as compute, storage, network, or software services1.
• A cloud solution with a pay-per-use model also enables the customer to scale up or down their resources on-demand, depending on their workload and performance needs1.
• A cloud solution with a pay-per-use model can help the customer reduce their operational expenditures (OPEX) by eliminating the need for upfront capital investments, maintenance costs, and overprovisioning of resources1.
• A hybrid solution, which combines cloud and on-premises resources, may not always reduce the total cost of ownership, as it depends on the workload characteristics, the cloud pricing model, and the integration and management complexity2.
• A hybrid solution may also have a more complicated expenditure model, as it involves both OPEX and CAPEX, and requires careful planning and optimization of the resource allocation and utilization2.
• A traditional solution, which relies on on-premises hardware and software, requires a high capital expenditure (CAPEX) to deploy, as well as ongoing maintenance, upgrade, and support costs3.
• A traditional solution also limits the customer’s flexibility and agility, as they have to deal with fixed and finite resources, and longer provisioning and deployment cycles3.

The references are:

1: Cloud Computing Pricing Models 2: Hybrid Cloud Cost Optimization 3: Cloud vs On-Premise Software Comparison

Statement 1: IT generalist looking for the most affordable approach to boost performance Option: MSA Explanation: MSA is an entry-level storage solution that offers high performance, scalability, and simplicity at a low cost. It is ideal for IT generalists who need to support a variety of workloads and applications without breaking the budget. MSA supports both flash and hybrid configurations, and can deliver up to 325,000 IOPS with sub-millisecond latency1.

Statement 2: Line of business or virtual machine admin looking for a new approach to consolidate infrastructure and lower operating expenses Option: SimpliVity Explanation: SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data protection in a single appliance. It is designed for line of business or virtual machine admins who want to simplify and streamline their IT operations, reduce costs, and improve efficiency. SimpliVity offers built-in backup and disaster recovery, data deduplication and compression, and global VM-centric management2.

Statement 3: Storage savvy buyer that wants to replace legacy storage for flexibility and tier 0 capabilities Option: Alletra 9000 Explanation: Alletra 9000 is a high-end storage solution that delivers consistent performance, availability, and agility for mission-critical workloads. It is suitable for storage savvy buyers who demand the best from their storage infrastructure, and who want to modernize their legacy storage with cloud-native capabilities. Alletra 9000 supports NVMe and SCM technologies, and can deliver up to 1.5M IOPS with sub-100 microseconds latency3.

Statement 4: Application centric buyer that needs dedicated storage performance and cloud hooks with a non-traditional approach Option: Alletra 6000 Explanation: Alletra 6000 is a mid-range storage solution that offers flexible performance, scalability, and resiliency for business-critical workloads. It is aimed at application centric buyers who need to optimize their storage for specific applications, and who want to leverage cloud services and APIs for automation and orchestration. Alletra 6000 supports NVMe and SAS technologies, and can deliver up to 900K IOPS with sub-300 microseconds latency4.

References:

• HPE MSA Storage
• HPE SimpliVity
• HPE Alletra 9000
• HPE Alletra 6000

 HPE GreenLake Private Cloud Enterprise is a fully managed cloud service that delivers a unified self-service infrastructure provisioning experience to IT and application administrators and developers1. It supports the deployment of bare metal, containers, and virtual machines workloads across datacenters, colocation facilities, or edge locations1. It also provides a consistent cloud experience across any application or workload, whether traditional or cloud-native1.

One of the workload services offered as part of HPE GreenLake Private Cloud Enterprise is VMware ESXi virtual machines. VMware ESXi is a hypervisor that enables the creation and management of virtual machines on a physical server2. VMware ESXi virtual machines can run various operating systems and applications, and can be migrated, cloned, or backed up using VMware tools2. HPE GreenLake Private Cloud Enterprise integrates with VMware vCenter Server to provide a seamless user interface for provisioning and managing VMware ESXi virtual machines3. Users can also leverage VMware vRealize Automation and vRealize Operations for advanced automation and orchestration capabilities3.

Another workload service offered as part of HPE GreenLake Private Cloud Enterprise is Bare Metal servers. Bare Metal servers are physical servers that are dedicated to a single tenant and do not run any hypervisor or virtualization layer4. Bare Metal servers can offer higher performance, security, and customization than virtual machines, as they eliminate the overhead and complexity of virtualization4. HPE GreenLake Private Cloud Enterprise enables users to provision and manage Bare Metal servers using a self-serviceportal or an API5. Users can also choose from various server models, configurations, and operating systems to suit their workload needs5.

The other options, such as Microsoft Azure Stack HCI, Microsoft Hyper-V virtual machines, Google Distributed Cloud Hosted, and serverless functions, are not workload services offered as part of HPE GreenLake Private Cloud Enterprise. Microsoft Azure Stack HCI and Microsoft Hyper-V virtual machines are alternative virtualization solutions that are not supported by HPE GreenLake Private Cloud Enterprise1. Google Distributed Cloud Hosted is a cloud service that extends Google Cloud Platform to customer premises or edge locations, but it is not integrated with HPE GreenLake Private Cloud Enterprise. Serverless functions are a cloud computing model that executes code without requiring users to provision or manage servers, but they are not available as a workload service in HPE GreenLake Private Cloud Enterprise1.

References:

• 1: HPE GreenLake for Private Cloud Enterprise
• 2: What is VMware ESXi? - Definition from WhatIs.com
• 3: HPE GreenLake for Private Cloud Enterprise: Scaling and orchestrating modern applications for the enterprise
• 4: What is a bare metal server? | IBM
• 5: HPE GreenLake for Private Cloud Enterprise
• : Google Distributed Cloud | Google Cloud