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

The HPE Demonstration Portal is a tool that allows you or your customer to access and experience various HPE solutions, including HPE SimpliVity, in a live or simulated environment. You can use the portal to demonstrate the easy management and integration of HPE SimpliVity into other HPE management options, such as HPE OneView, HPE InfoSight, and HPE Cloud Volumes Backup. The portal also provides resources such as videos, guides, and scripts to help you prepare and deliver effective demonstrations. References: HPE Demonstration Portal, HPE SimpliVity Hyperconverged, HPE SimpliVity System Administration, Using HPE SimpliVity Solutions, HPE SimpliVity Developer Portal

Based on the customer’s requirements, the following strategy would meet their needs:

Server: Synergy 480 Gen10 Plus Storage: Alletra 6000 Data Protection: StoreOnce with Veeam Data Protection backup: full/synthetic full local backup rotation

Server: Synergy 480 Gen10 Plus

The Synergy 480 Gen10 Plus is a composable, scalable, and flexible server that can support VMware clusters with high performance, availability, and efficiency. It offers the following benefits for the customer:

• Composable: The Synergy 480 Gen10 Plus can be dynamically configured and reconfigured using software-defined templates and profiles, allowing the customer to optimize their resources for different workloads and applications. The customer can also leverage HPE OneView and HPE Composer to automate and orchestrate their infrastructure management, reducing the complexity and overhead.
• Scalable: The Synergy 480 Gen10 Plus can support up to two Intel Xeon Scalable processors, up to 3 TB of memory, and up to 24 SFF drives or 12 LFF drives per node. It can also be expanded with up to six mezzanine options, including Fibre Channel, Ethernet, and InfiniBand adapters. The customer can scale their VMware cluster horizontally or vertically as their needs grow, without compromising on performance or efficiency.
• Flexible: The Synergy 480 Gen10 Plus can support various operating systems, hypervisors, and applications, including VMware vSphere, VMware vSAN, and VMware Cloud Foundation. It can also integrate with HPE GreenLake, HPE’s edge-to-cloud platform, to provide the customer with a pay-per-use, as-a-service model that can lower their costs and risks.

Storage: Alletra 6000

The Alletra 6000 is a mid-range storage solution that offers flexible performance, scalability, and resiliency for business-critical workloads. It is suitable for the customer’s VMware cluster because:

• Flexible performance: The Alletra 6000 can deliver up to 900K IOPS with sub-300 microseconds latency, supporting the customer’s business and customer-facing applications with consistent and reliable performance. It can also support NVMe and SAS technologies, and offer three performance tiers: Performance, Business Critical, and Mission Critical, allowing the customer to choose the best option for their workloads and service level objectives.
• Scalability: The Alletra 6000 can support up to 16 PB of raw capacity, and up to 64 hosts per system. It can also scale out with HPE Cloud Volumes, HPE’s cloud-native storage service, to provide the customer with hybrid cloud capabilities and flexibility. The customer can scale their storage capacity and performance as their VMware cluster grows, without compromising on availability or efficiency.
• Resiliency: The Alletra 6000 offers a 100% data availability guarantee, ensuring that the customer’s data is always accessible and protected. It also supports various data protection features, such as snapshots, replication, encryption, and erasure coding, to enhance the customer’s data security and recovery. The customer can also leverage HPE InfoSight, HPE’s AI-driven predictive analytics platform, to monitor and optimize their storage performance, health, and utilization, and to prevent issues before they impact their operations.

Data Protection: StoreOnce with Veeam

The StoreOnce with Veeam is a data protection solution that combines HPE’s deduplication appliance and Veeam’s backup and recovery software to provide the customer with fast, efficient, and reliable backup and recovery for their VMware cluster. It offers the following benefits for the customer:

• Fast backup and recovery: The StoreOnce with Veeam can reduce the backup window and the recovery time objective (RTO) for the customer’s VMware cluster, by leveraging source-side deduplication, synthetic full backups, and instant VM recovery. The customer can back up and restore their data in minutes, minimizing the impact of downtime or data loss on their business and customers.
• Efficient storage utilization: The StoreOnce with Veeam can reduce the storage footprint and the bandwidth consumption for the customer’s backup data, by leveraging target-side deduplication, compression, and encryption. The customer can store up to 20 times more backup data on the same amount of storage, and reduce the network traffic by up to 95%, lowering their costs and risks.
• Reliable data protection: The StoreOnce with Veeam can provide the customer with multiple levels of data protection, by supporting local, remote, and cloud backup and recovery options. The customer can also leverage HPE Cloud Bank Storage, HPE’s cloud storage service, to store their backup data in the cloud, enhancing their data durability and availability. The customer can also leverage Veeam’s features, such as backup verification, ransomware protection, and data governance, to ensure their data integrity and compliance.

Data Protection backup: full/synthetic full local backup rotation

The full/synthetic full local backup rotation is a backup strategy that involves creating a full backup of the customer’s VMware cluster once, and then creating synthetic full backups periodically by combining the previous full backup with the incremental backups. This strategy offers the following benefits for the customer:

• Reduced backup window: The full/synthetic full local backup rotation can reduce the time and resources required to create full backups, by eliminating the need to read the entire data set from the source every time. The customer can create synthetic full backups faster and more efficiently, without impacting their production environment or performance.
• Improved recovery point objective (RPO): The full/synthetic full local backup rotation can improve the frequency and granularity of the customer’s backups, by creating incremental backups daily or more often. The customer can capture the changes in their data more frequently, reducing the amount of data loss in case of a disaster or failure.
• Simplified backup management: The full/synthetic full local backup rotation can simplify the customer’s backup management, by reducing the number of backup files and chains that need to be maintained and monitored. The customer can also leverage Veeam’s features, such as backup copy jobs, backup retentionpolicies, and backup reports, to automate and optimize their backup processes and operations.

HPE GreenLake for Private Cloud Enterprise is a fully managed cloud service that delivers a public cloud-like experience for bare metal, containers, and VMs in your private environment. It is a true pay-per-use solution that allows you to pay for what you use, subject to a minimummonthly reservation fee. The minimum reserve is based on the expected usage of the infrastructure and can be adjusted as needed. The minimum reserve ensures that you have enough capacity to meet your performance and availability requirements, while also benefiting from the flexibility and scalability of the pay-per-use model. You can monitor your usage and billing through the HPE GreenLake Central portal, which provides consumption analytics and insights. References: HPE GreenLake for Private Cloud Enterprise, HPE GreenLake for private cloud data sheet, Modern private cloud made easy: HPE unveils HPE GreenLake for Private Cloud Enterprise

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%20Unlock%20Your%20Full%20Potential-eBook-19332

The HPE storage platform that should be included to complete the VDI solution is HPE Alletra 6000. This is because HPE Alletra 6000 is a high-performance, low-latency, and scalable storage array that can support the demanding workloads of VDI environments. HPE Alletra 6000 offers the following benefits for VDI solutions:

• It delivers consistent sub-millisecond response times for thousands of concurrent users and virtual machines, ensuring a smooth and responsive user experience12.
• It provides flexible connectivity options, including iSCSI and FC, that can integrate with HPE Synergy compute modules and HPE Virtual Connect technology13.
• It supports VMware vVols, which simplifies storage management and provisioning, enables granular data protection and quality of service, and optimizes storage utilization for VDI deployments14.
• It leverages HPE InfoSight, an AI-powered platform that provides predictive analytics, proactive recommendations, and automated actions to prevent issues, optimize performance, and reduce costs for VDI environments15.

The other options are not suitable for the VDI solution because:

• B. HPE StoreEasy is a file and application storage solution that is designed for small and medium businesses, branch offices, and workgroups. It is not optimized for high-performance, low-latency, and scalable VDI workloads6.
• C. HPE Qumulo is a file data platform that is designed for unstructured data, such as media and entertainment, life sciences, and research. It is not optimized for high-performance, low-latency, and scalable VDI workloads7.
• D. HPE SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, and networking in a single appliance. It is not compatible with HPE Synergy compute modules, which are blade servers that require a separate storage array8 .

References:

• HPE Alletra 6000 | HPE Store US
• HPE Alletra 6000 Data Sheet
• HPE Synergy 480 Gen10 Compute Module - Overview
• HPE Alletra 6000 and VMware vVols
• HPE InfoSight for HPE Alletra 6000
• HPE StoreEasy Storage
• HPE Qumulo
• HPE SimpliVity
• [HPE Synergy 12000 Frame]

• HPE InfoSight: HPE InfoSight is an AI-driven predictive analytics platform that monitors and optimizes the performance, health, and utilization of HPE’s storage, servers, and networking solutions. It can automatically identify performance improvement opportunities based on workload patterns, and provide recommendations and actions to enhance the efficiency and reliability of the infrastructure12.
• HPE GreenLake Central: HPE GreenLake Central is a cloud-native platform that provides a unified and consistent experience for managing and optimizing HPE’s edge-to-cloud solutions. It can provide cost control to optimize spends across clouds, by enabling customers to track and manage their consumption, budget, and invoices, and to compare the costs and benefits of different cloud providers and services34.
• Data Services Cloud Console: Data Services Cloud Console is a cloud-native console that provides a simplified and agile way to manage and orchestrate HPE’s data and storage solutions. It can provide intent-based provisioning based on workload type, capacity, and access needs, by enabling customers to create and deploy data services in minutes, and to adjust and scale them on-demand, without any manual intervention or complexity .

https://www.hpe.com/us/en/newsroom/press-release/2022/03/hpe-greenlake-edge-to-cloud-platform-delivers-greater-choice-and-simplicity-with-unified-experience-new-cloud-services-and-expanded-partner-ecosystem.html

 A managed private cloud solution is one where the customer has a dedicated cloud environment that is managed by a third-party provider. The customer can benefit from the scalability, flexibility, and security of the cloud, without having to deal with the infrastructure management and maintenance. However, the customer may also have specific requirements for ownership and tax purposes, such as retaining the title of the assets or depreciating them over time. In this case, a traditional purchase or a custom HPE GreenLake solution may not be suitable, as they would either require the customer to pay upfront for the infrastructure or transfer the ownership to HPE. HPE GreenLake for VDI is also not a good option, as it is a specific solution for virtual desktops, not a general-purpose cloud platform.

The best option for the customer is to use HPE Financial Services lease with GreenLake management services. This option allows the customer to lease the infrastructure from HPE Financial Services, while HPE GreenLake provides the management and pay-per-use billing for the cloud services. The customer can retain the ownership of the assets at the end of the lease term, or renew the lease with updated technology. The customer can also take advantage of the tax benefits of leasing, such as deducting the lease payments as operating expenses or claiming depreciation allowances. This option provides the customer with a managed private cloud solution that meets their ownership and tax needs, while also offering the advantages of HPE GreenLake, such as cost savings, agility, and innovation. References: HPE GreenLake Cloud Services, HPE Financial Services, HPE GreenLake for Private Cloud Enterprise

According to the HPE Edge-to-Cloud Adoption Framework, page 5, a traditional solution 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 somecombination of them, and it may exist on or off premises. A traditional solution offers the organization more control, security, and customization over their cloud resources, but it also requires more investment, maintenance, and expertise.

A hybrid solution 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 solution offers the consumers more choice, agility, and innovation over their cloud resources, but it also requires more integration, management, and complexity.

Based on these definitions, the following use cases are hybrid solutions:

• An on-premises database, emerging applications, storage as a service with VMs, or container environments and cloud back up. = Hybrid solution. This use case involves a combination of on-premises and cloud resources, and requires data and application portability between them.
• A small private cloud for productivity and collaboration with public cloud disaster recovery or testing and development. = Hybrid solution. This use case involves a combination of private and public cloud resources, and requires data and application portability between them.

The following use cases are traditional solutions:

• A small deployment in an office consolidating a small number of applications but limited SLA requirements. = Traditional solution. This use case involves a single organization using a cloud infrastructure for exclusive use, and does not require data and application portability to other clouds.
• Large Object-Store performance database and online transaction processing (OLTP) without external connectivity. = Traditional solution. This use case involves a single organization using a cloud infrastructure for exclusive use, and does not require data and application portability to other clouds

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 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 for database is a cloud service that provides a fully managed, pay-per-use, and scalable solution for SAP HANA and other databases. It enables customers to run their mission-critical workloads on HPE Superdome Flex and HPE Alletra 9000, while enjoying the benefits of cloud economics, flexibility, and security. HPE GreenLake for database also offers features such as backup and recovery, high availability, disaster recovery, and performance optimization. By offering HPE GreenLake for database to the customer, you can help them simplify their database operations, reduce their costs and risks, and accelerate their time to value. References: HPE GreenLake for database, HPE GreenLake for SAP HANA, HPE Superdome Flex Solutions for SAP HANA

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

HPE InfoSight is a cloud-based platform that uses AI and machine learning to provide predictive analytics, proactive recommendations, and automated actions for HPE infrastructure. It collects and analyzes data from more than 100,000 systems worldwide and uses that intelligence to make every system smarter and more self-sufficient. HPE InfoSight offers the following features:

• B. It provides cloud-based predictive analytics for HPE Alletra all-flash arrays. HPE InfoSight supports HPE Alletra 6000 and 9000 all-flash arrays, which deliver consistentperformance, availability, and efficiency for mission-critical and business-critical workloads. HPE InfoSight monitors the health, performance, and capacity of the arrays and provides insights and guidance to optimize them. HPE InfoSight also predicts and prevents issues, such as bottlenecks, failures, or configuration errors, and automatically resolves them before they impact the business12.
• E. It enables cross-stack analytics for VMware and Hyper-V environments. HPE InfoSight provides visibility and insights across the entire stack, from the virtual machines to the storage, and helps troubleshoot and optimize the virtualized infrastructure. HPE InfoSight can identify the root cause of performance issues, correlate metrics and events, and provide recommendations for improvement. HPE InfoSight also supports VMware vVols, which simplifies storage management and provisioning for virtual machines34.

The other options are not true because:

• A. It automates the firmware updates of all registered HPE devices. HPE InfoSight does not automate the firmware updates of all registered HPE devices. It provides firmware recommendations based on the best practices and compatibility of the devices, but the firmware updates need to be performed manually by the administrator or through other tools, such as HPE OneView or HPE iLO Amplifier Pack56.
• C. It can be used locally (dark sites) and in cloud environments. HPE InfoSight is a cloud-based platform that requires internet connectivity to collect and analyze data from the devices. It cannot be used locally (dark sites) or in offline environments. However, HPE offers other solutions, such as HPE Primera Data Collector or HPE Nimble Storage Data Collector, that can be deployed on-premises and provide some of the features of HPE InfoSight, such as health monitoring, performance analysis, and support automation78.
• D. It provides cloud-based predictive analytics for HPE MSA. HPE InfoSight does not support HPE MSA, which is an entry-level storage array for small and medium businesses. HPE MSA has its own web-based management interface that provides basic monitoring and configuration capabilities, but it does not have the advanced features of HPE InfoSight, such as predictive analytics, AI-driven operations, or cross-stack visibility9 .

References:

• HPE InfoSight – AI-Driven Intelligence for Infrastructure
• HPE Alletra 6000 Data Sheet
• HPE InfoSight for Servers
• HPE InfoSight for VMware vCenter
• HPE InfoSight Firmware Recommendations
• HPE InfoSight Firmware Recommendations FAQ
• HPE Primera Data Collector
• HPE Nimble Storage Data Collector
• HPE MSA Storage
• [HPE MSA Storage Management Utility]

 HPE SPOCK (Storage Product Compatibility) is a tool that provides the latest compatibility information for HPE storage products across the entire HPE portfolio. You can use HPE SPOCK to determine whether the existing Fibre Channel switches are compatible with the new HPE Alletra 9000 Fibre Channel array by selecting the product family, model, and firmware version of the switches and the array. HPE SPOCK will display the compatibility status, any notes or limitations, and the recommended configuration settings for the switches and the array. HPE SPOCK can help you ensure a smooth and successful deployment of the HPE Alletra 9000 Fibre Channel array with the existing Fibre Channel switches. References: HPE SPOCK, HPE Alletra 9000 Data sheet, HPE Alletra 9000 configuration overview, Marvell® QLogic® Fibre Channel Host Bus Adapters

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

• 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 or off-premises1.
• HPE GreenLake Central enables customers to run, manage, and optimize their hybrid IT estate, complementing their use of public clouds and data centers1.
• One of the key differentiators of HPE GreenLake Central is its recommendation engine, which uses artificial intelligence and machine learning to provide insights and suggestions for improving the performance, efficiency, and cost of the customer’s IT environment2.
• The recommendation engine can help customers to:

The references are:

1: HPE GreenLake Central User Guide, page 1 2: HPE GreenLake Central helps customers run, manage, and optimize their hybrid cloud estate

HPE’s disaggregated hyperconverged infrastructure (dHCI) is a solution that combines the simplicity and ease-of-use of HCI with the flexibility and scalability of disaggregated architecture. It consists of three main components: compute nodes, storage nodes, and networking. The compute nodes are HPE ProLiant servers that run the applications and virtual machines. The storage nodes are HPE Alletra 6000 arrays that provide storage capacity and data services. The networking is the fabric that connects the compute and storage nodes, providing high-speed data transfer and management.

The HPE Alletra 6000 arrays can be connected to the compute nodes using either iSCSI or FC protocols, depending on the customer’s preference and existing infrastructure. Therefore, both D and B are valid options for the storage nodes. However, the question asks for three components, so only one of them can be chosen. Since the question does not specify the protocol, we can assume that either one is acceptable. For simplicity, we choose D as the answer.

The HPE ProLiant servers can be either rack-mounted or blade servers, depending on the customer’s needs and space constraints. Therefore, both F and C are valid options for the compute nodes. However, the question asks for three components, so only one of them can be chosen. Since the question does not specify the form factor, we can assume that either one is acceptable. For simplicity, we choose F as the answer.

The networking component can be any of the approved options for storage switches, including HPE Aruba, Cisco, Mellanox, and others. Therefore, E is a valid option for the networking component. A is not a valid option, because HPE B-series switches are not compatible with HPE Alletra 6000 arrays.

Therefore, the correct answer is D, E, F. References:

• Alletra Disaggregated HCI (dHCI) | HPE
• What is disaggregated HCI (dHCI)? | Glossary | HPE
• Advantages of HPE’s dHCI Architecture - WWT
• HPE Alletra dHCI Overview - Hewlett Packard Enterprise

Incremental cash flow is the difference between the cash flow of a project with the investment and the cash flow of the same project without the investment. It represents the net change in cash flow that results from making the investment. The correct method to calculate incremental cash flow is to substract projected increase in revenue or decrease in costs from the initial investment. This method captures the additional cash inflows and outflows that are attributable to the investment, and excludes any cash flows that are unrelated to the investment. Incremental cash flow can help you evaluate the profitability and feasibility of an IT investment by comparing it to the required rate of return or the payback period. References: HPE Edge-to-Cloud Solutions - Self-Directed Lab, HPE Edge-to-Cloud Solutions - Official Certification Study Guide, Incremental Cash Flow Definition, How to Calculate Incremental Cash Flow