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100% Pass HP - HPE2-E84–Efficient Exam Book

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HP Selling HPE AI and As-a-Service Solutions Sample Questions (Q10-Q15):

NEW QUESTION # 10
A financial services customer is building a large-scale, on-premises AI cloud to develop and train Large Language Models (LLMs). They require a full-stack, purpose-built solution that is co-developed with the leader in accelerated computing and optimized for generative AI workloads.
Executive Summary: AI Initiative
- Project: "Project Prometheus" - Sovereign Generative AI Cloud
- Workload: Large-scale LLM training and fine-tuning.
- Key Requirement: A tightly integrated, enterprise-class solution from trusted vendors, offering a "turnkey" experience for AI developers.
- Strategic Partner Preference: Must include technology from NVIDIA.
Which comprehensive HPE solution should be positioned to meet all these high-level requirements?

A. 'NVIDIA AI Computing by HPE' portfolio
B. NVIDIA DGX Cloud hosted in a public cloud
C. HPE GreenLake for Private Cloud Business Edition
D. A custom-built solution using components from multiple different server vendors

Answer: A

NEW QUESTION # 11
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. The ability to manage HPE Alletra storage arrays.
B. Deep hypervisor integration for managing virtual machines.
C. Zero Touch Provisioning for rapidly deploying and configuring new equipment at remote sites.
D. A cloud-native, single-pane-of-glass management for the entire network lifecycle.
E. A built-in ticketing system for managing IT help desk requests.

Answer: C,D

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

Answer: B,E

NEW QUESTION # 13
A customer wants to gain unified visibility and AIOps-driven insights across their entire hybrid IT estate, which includes on-premises HPE infrastructure, virtualized environments, and workloads running in multiple public clouds.
Which capabilities of OpsRamp should a sales professional highlight to address this need for comprehensive, service-centric observability? (Select all that apply.)

A. Full-stack discovery and monitoring that provides a complete inventory of hybrid IT resources.
B. The ability to manage HPE Aruba network switches at the command-line level.
C. Seamless integration with third-party tools and public clouds to provide a single source of truth.
D. The functionality to order new physical servers directly from the OpsRamp dashboard.
E. A service-centric AIOps engine that correlates alerts to identify root causes and reduce alert noise.

Answer: A,C,E

NEW QUESTION # 14
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. A lease on HPE Alletra storage arrays.
B. HPE GreenLake for HPC, which provides a fully managed, consumption-based HPC environment.
C. An outright purchase of HPE ProLiant servers with basic support.
D. A public cloud provider's spot instances for cheap, temporary compute.

Answer: B

NEW QUESTION # 15
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