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HP HPE2-E84 Exam Syllabus Topics:

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

Question 1

A partner is hesitant to lead with HPE GreenLake because they are accustomed to the large, upfront revenue and margin from traditional hardware sales.
Partner Objection:
"The as-a-service model seems like it will reduce my initial deal size and profitability.
Why should I change my sales motion from a traditional CapEx sale to a GreenLake OpEx deal?" How should an HPE channel manager explain the benefits of the as-a-service model *for the partner*?

A. Explain that the partner can build a recurring revenue stream, increasing their business valuation and customer lifetime value.
B. Tell the partner they will make the exact same upfront margin as a traditional sale.
C. Advise the partner to only sell HPE GreenLake to customers who do not have any capital budget.
D. Emphasize that the partner can add their own managed services on top of the HPE GreenLake platform to create new, high-margin offerings.
E. State that as-a-service deals require less sales effort and technical knowledge.

Question 2

Which statement best defines the value of OpsRamp for a customer managing a hybrid, multi-cloud environment?

A. It is a network management tool used only for configuring HPE Aruba switches and access points.
B. It is a financial dashboard within HPE GreenLake used to track monthly service consumption and costs.
C. It is an on-premises hardware appliance used exclusively for monitoring HPE ProLiant servers.
D. It is a SaaS platform that provides unified observability, AIOps, and automation across the entire IT estate, from on-premises to public cloud.

Question 3

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

Question 4

A life sciences research firm is launching a new drug discovery program. Their data scientists have provided a list of technical and business requirements for the supporting infrastructure.
Project Requirements: "Genomics Discovery"
- Technical Need: Massively parallel processing for complex genomic sequencing simulations.
- Data Volume: Petabytes of research data that must be processed quickly.
- Business Goal: Accelerate time-to-market for new therapies.
- Financial Model: Need to acquire the infrastructure as an operational expense (OpEx) via a consumption model.
Which HPE solution is the best fit for these requirements?

A. HPE MSA Storage for entry-level block storage.
B. HPE GreenLake for High-Performance Computing (HPC).
C. HPE StoreEasy for simple file sharing.
D. HPE SimpliVity for general virtual machine consolidation.

Question 5

A customer wants to adopt a NaaS (Network-as-a-Service) model for their campus LAN infrastructure. They want to ensure they can easily manage access policies for a diverse set of users and devices, including employees, guests, and IoT sensors.
Which capabilities of HPE Aruba Networking Central are most important to highlight to meet this specific requirement for advanced access control? (Choose 2.)

A. The ability to monitor WAN gateway health and performance.
B. Consumption analytics showing buffer credit usage over time.
C. Centralized dashboard showing the number of access points and switches online.
D. Cloud-native network access control (NAC) that simplifies onboarding and policy enforcement for users and devices.
E. Advanced client profiling to automatically identify and classify devices connecting to the network.

Solutions: