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HP HPE2-E84 Exam Syllabus Topics:

SectionWeightObjectives
Solution Positioning & Sales Process20%- Value-based selling techniques
- Align solutions to customer requirements
- Differentiate HPE from competitors
Selling HPE Software as a Service (SaaS)20%- Identify and qualify SaaS opportunities
- SaaS model benefits for customers and partners
- Positioning HPE SaaS offerings
Customer Challenges & Market Trends15%- Value of HPE Financial Services and HPE Services
- Drivers for as-a-service and hybrid cloud adoption
- Business and technical challenges customers face
HPE GreenLake & Consumption-Based Solutions20%- GreenLake Flex and core solutions
- Financial and operational advantages
- GreenLake value and consumption model
HPE AI Solutions & Value Proposition25%- Use cases and business benefits of AI solutions
- HPE and NVIDIA partnership and offerings
- HPE AI portfolio and key differentiators

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

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


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


3. A customer is using HPE GreenLake for Block Storage and wants to optimize their environment to align with business-level objectives for their critical applications.
Which features of the Data Services Cloud Console (DSCC) should the sales professional highlight to demonstrate how HPE helps achieve this? (Choose 2.) Customer Goal: Ensure business-critical applications (e.g., SAP HANA) always have the necessary performance and protection, managed through a simple, intent-based workflow.

A) The use of AI-powered "cross-stack analytics" to predict and prevent performance issues before they impact applications.
B) The ability to provision storage by specifying the capacity, host group, and RAID level.
C) The ability to monitor power consumption and carbon footprint from the sustainability dashboard.
D) Intent-based provisioning where an administrator defines the desired service level (e.g., mission-critical tier) and the system automates placement and data protection.
E) The use of Consumption Analytics to track historical usage and forecast future costs.


4. A manufacturing client wants to implement an AI solution to improve quality control by visually inspecting products on the assembly line. The solution must be able to identify microscopic defects in real-time. This requires processing high-resolution video streams with extremely low latency.
What are the key infrastructure requirements that an HPE sales professional must identify for this AI use case? (Choose 2.)

A) A simple file-sharing protocol like SMB.
B) High-throughput, low-latency networking to move video data without delay.
C) High-performance, GPU-based accelerated computing to run the AI inference models.
D) Low-power, low-cost CPUs for maximum energy efficiency.
E) A centralized, cloud-only storage solution for archiving data.


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


Solutions:

Question # 1
Answer: C
Question # 2
Answer: B,C,D
Question # 3
Answer: A,D
Question # 4
Answer: B,C
Question # 5
Answer: B,C,D

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