HPE0-V28 Delta - HPE Edge-to-Cloud Solutions Questions and Answers

Designing the solution based on customer requirements

Validating the customer requirements

Architecting the solution

Documenting customer intent

Documenting every possible requirement, regardless of its relevance to the solution

Gathering requirements from a single stakeholder to avoid conflicting inputs

Prioritizing requirements based on their potential impact on the solution outcomes

Avoiding any requirements that are difficult to implement

When legacy systems are no longer in use

When there is a need for low-speed network connectivity

When scalability and flexibility are critical requirements

When data needs to be stored on-premises

They are skeptical that it will provide a return on investment.

They have completed their digital transformation products and are turning their attention to the next trend.

They are committed to it and have formed dedicatee digital transformation teams.

They are waiting to see if their competitors are successful in implementing it.

The customer wants deep insights into big data collected at the edge.

The customer wants to accelerate provisioning to provide on-demand IT.

The customer wants to improve user experience in an open office environment.

The customer wants to reduce costs and regain control of the data center.

They keep data analytics operations safely behind the data center firewall.

They enable sophisticated threat detection all the way to the edge of the network.

They redirect attacks to cloud-based security services environments.

They are resistant to attacks because they have a distributed architecture.

IT must extend change management lifecycles to reduce risk.

IT must be able to scale quickly and seamlessly.

IT must expand the data center footprint.

IT must deploy IoT devices that support next-gen analytic workloads.

by helping them remove containers and shift all workloads to virtualized servers

by helping them replace Platform as a Service (PaaS) with Software as a Service (SaaS)

by helping them transform into data-driven organizations

by helping them transition away from data toward apps

It allows you to present technical information about products to executives outside of IT.

Your credibility increases when you are able to converse effectively with leaders in business, finance, and technical roles.

Because most companies are moving from an OPEX to a CAPEX funding model, top executives need to approve large purchases associated with IT projects.

As more companies move to public cloud, the IT manager role is no longer involved in IT purchases.

The customer wants to modernize mobile endpoints.

The customer wants to modernize applications.

The customer wants to modernize the data center.

The customer wants to modernize IT operations.

When high-speed network connectivity is not required

When scalability and flexibility are critical requirements

When data needs to be stored in a public cloud

When legacy systems are still in use

The customer has already allocated a significant portion of their IT budget to a competing solution.

The customer has a strategy for ingesting data collected from IoT devices and analyzing the data at the core.

The customer wants to shift from a CAPEX model to an OPEX model.

The customer has heard of HPE Synergy and The Machine, and understands why these solutions are so innovative.

It automatically deploys patches to all desktops at the network edge.

It ensures that all data remains securely in the data center.

It includes security monitoring as a service as part of the solution.

It embeds a silicon root of trust in every desktop.

Identifying the solution architecture before gathering requirements

Documenting every possible requirement, regardless of its relevance to the solution

Prioritizing requirements based on their potential impact on the solution outcomes

Avoiding any customization to minimize complexity

the need for faster insights from data

the need for desktop virtualization

the need for flexible storage and compute scaling

the need for data virtualization in the cloud

using intelligent sensors to track inventory and shipments

using drones to monitor vehicles coming into and out of their facilities

installing "smart" entertainment systems to entice employees to spend more time at work

providing employees with fitness trackers to ensure employees are active

Hadoop is a new technology, and most enterprises are waiting to implement it until larger companies, such as Google, have demonstrated its effectiveness.

Most companies have successfully implemented Hadoop already; you will find the most promising opportunities in moving customers from Hadoop to online transactional databases.

Half of enterprise customers have implemented Hadoop, but most still experience issues, partially due to an infrastructure not designed to support big data.

Most companies have found that Hadoop is less effective for handling big data; they prefer open-source solutions such as SAP HANA.

doing ongoing maintenance tasks

creating new apps

learning about next-gen technologies

working on innovation initiatives

Deploying VDI takes less advance planning than enabling users to access resources through a VPN.

VDI ensures that the data users access most often is stored locally and is easily accessible.

IT can manage the desktop environment much more easily and quickly with VDI.

VDI often provides twice the performance of traditional desktop infrastructure.

innovative solutions

converged infrastructure

conventional paradigms

IT as a service

an emphasis on improving employee experience with a more modern network solution

the desire for a private cloud solution that integrates with Amazon Web Services (AWS)

the need for a container as a service (CaaS) solution that integrates with Docker

a focus on optimizing the data center to increase efficiency and lower costs