HP Selling HPE AI and As-a-Service Solutions : HPE2-E84

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HP HPE2-E84 Exam Syllabus Topics:

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

1. A retail customer with hundreds of branch locations is struggling to manage its distributed network infrastructure. They provide the following list of challenges to an HPE sales professional:
Customer Pain Points:
- Inconsistent network configurations across stores, leading to performance issues.
- Difficulty getting a unified view of wired, wireless, and WAN health.
- IT team is spending too much time on manual troubleshooting and device-by-device updates.
- Need to rapidly deploy new services to branches without sending technicians onsite.
Which HPE SaaS solution is specifically designed to address all these challenges?

A) HPE GreenLake for Private Cloud Business Edition
B) HPE Aruba Networking Central
C) Data Services Cloud Console (DSCC)
D) OpsRamp

2. A medium-sized enterprise is embarking on its first major AI initiative. They have a team of data scientists but lack the deep expertise in managing and optimizing the underlying HPC infrastructure required for AI model training. They have a limited upfront budget but a clear business case for the project.
Customer Profile:
- Company Size: Medium Enterprise
- AI Experience: Limited infrastructure expertise
- Budget: Prefers OpEx over CapEx
- Project: Develop a predictive analytics model for customer churn.
Which HPE solution, combined with the right service and financial model, creates the most compelling proposal for this customer?

A) An outright purchase of HPE ProLiant servers with basic support.
B) HPE GreenLake for HPC, which provides a fully managed, consumption-based HPC environment.
C) A lease on HPE Alletra storage arrays.
D) A public cloud provider's spot instances for cheap, temporary compute.

3. A customer wants to deploy a full-stack AI solution that is optimized for both AI training and inference workloads. They are concerned about the complexity of integrating servers, storage, networking, and the AI software stack from different vendors.
How does the 'NVIDIA AI Computing by HPE' portfolio address this specific customer concern? (Select all that apply.)

A) By offering a pre-validated, full-stack solution that is co-engineered by HPE and NVIDIA.
B) By allowing customers to select and integrate their own choice of components from any third-party vendor.
C) By providing a curated set of AI software and models, including the NVIDIA AI Enterprise software suite.
D) By focusing exclusively on providing the server hardware and leaving software integration to the customer.
E) By delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.

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

5. 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) The standardization on a single hardware vendor and the outsourcing of all IT functions to a third party.
C) The convergence of AI for business outcomes, the demand for flexible as-a-service consumption, and the growing importance of sustainability.
D) A focus on traditional, on-premises IT purchasing and a move away from data-driven decision making.

Solutions: