Try and practice the latest HP : HPE2-E84 real questions & answers

HP HPE2-E84 Exam Overview:

HP HPE2-E84 Exam Syllabus Topics:

HP Selling HPE AI and As-a-Service Solutions Sample Questions:

1. During a sales conversation about a large data center refresh, a customer raises a significant objection.
Customer Objection:
"We simply don't have the capital budget approved for a multi-million dollar hardware purchase this year. We want to modernize, but our board is pushing to shift all major IT investments to a recurring, operational expense model." Which HPE offerings are specifically designed to overcome this type of financial objection? (Choose 2.)

A) HPE ProLiant servers with the highest core counts and memory.
B) HPE Financial Services, which provides flexible payment solutions like leasing and financing.
C) HPE Training Services for technical certifications.
D) HPE Services for break/fix hardware support.
E) HPE GreenLake, which provides a pay-per-use consumption model.

2. A customer has been using HPE GreenLake for Block Storage for over a year. A review of their consumption analytics reveals that their monthly usage consistently exceeds their committed capacity, resulting in higher-than-expected overage charges.
How should this data be used to have a strategic conversation with the customer? (Select all that apply.)

A) To proactively propose an increase in their committed capacity, which would lower their per-unit cost and reduce or eliminate overage charges.
B) As proof that the customer's application is inefficient and needs to be rewritten.
C) As an opportunity to discuss their future growth plans and right-size their environment for the next 12 months.
D) To suggest that they immediately migrate the workload to the public cloud.
E) To demonstrate that the pay-per-use model is not working for them.

3. A CIO of a manufacturing company is outlining their strategic goals for the next three years.
Customer Strategic Goals:
- Goal 1: Increase operational efficiency on the factory floor by using predictive maintenance.
- Goal 2: Shift from large, infrequent technology investments to a more predictable, consumption-based financial model.
- Goal 3: Reduce the company's carbon footprint by optimizing IT infrastructure utilization.
Which market trends do these goals directly reflect?

A) A preference for public cloud-only deployments and a singular focus on reducing operational expenses above all else.
B) A focus on traditional, on-premises IT purchasing and a move away from data-driven decision making.
C) The standardization on a single hardware vendor and the outsourcing of all IT functions to a third party.
D) The convergence of AI for business outcomes, the demand for flexible as-a-service consumption, and the growing importance of sustainability.

4. A large, distributed enterprise is evaluating Network-as-a-Service (NaaS) solutions to simplify operations. They need to manage wired, wireless, and SD-WAN infrastructure across thousands of remote sites from a single interface.
Which key features of HPE Aruba Networking Central are most relevant to this customer's needs? (Choose 2.)

A) Zero Touch Provisioning for rapidly deploying and configuring new equipment at remote sites.
B) Deep hypervisor integration for managing virtual machines.
C) A cloud-native, single-pane-of-glass management for the entire network lifecycle.
D) A built-in ticketing system for managing IT help desk requests.
E) The ability to manage HPE Alletra storage arrays.

5. Which statement accurately describes a key market trend driving enterprise customers to adopt as-a-service (AaS) and AI solutions?

A) A strategic shift away from public cloud due to increasing data egress costs and a desire to repatriate all workloads.
B) The desire to gain the financial flexibility of the cloud operating model for on-premises workloads, coupled with the need to modernize applications with AI.
C) A mandate from industry regulations to replace all capital expenditures with operational expenditures within the next fiscal year.
D) A decreasing interest in data analytics, as most organizations have already extracted all possible value from their data.

Solutions: