HP 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 customer with strong Environmental, Social, and Governance (ESG) goals wants to understand how HPE can help them build a more sustainable IT strategy. They are particularly concerned about energy consumption and overprovisioning in their data center.
Which HPE offerings and capabilities should a sales professional highlight to address these sustainability concerns? (Select all that apply.)

A) The ability to purchase servers with the maximum possible number of CPUs and memory modules to ensure future capacity.
B) The HPE GreenLake consumption model, which helps eliminate overprovisioning by aligning capacity with real-time needs.
C) HPE's Asset Upcycling Services, which provide a secure and environmentally responsible way to retire old IT equipment.
D) The HPE Sustainability Dashboard, which provides visibility into IT energy consumption, carbon footprint, and utilization metrics.
E) The use of older, less efficient hardware that has already been fully depreciated to avoid new manufacturing.

2. A customer is reviewing their monthly usage report in the HPE GreenLake cloud platform. They notice a section with the following details.
Report Snippet: Consumption Analytics
- Service: Virtual Machine Instances
- Committed Monthly Capacity: 2,000 vCPU
- Peak Usage Last Month: 2,850 vCPU
- Average Usage Last Month: 1,950 vCPU
- Current Trend: Usage has grown 15% month-over-month for the past quarter.
- Recommendation: Increase committed capacity to 2,500 vCPU to optimize cost.
What is the primary business benefit the sales professional should highlight from this consumption analytics data?

A) It shows that the hardware is failing and needs to be replaced immediately.
B) It proves that the customer is not using the service enough to justify the cost.
C) It allows the customer to directly manage the physical server hardware in the data center.
D) It provides actionable insights for proactive capacity planning and cost optimization.

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

4. 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 delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.
B) By allowing customers to select and integrate their own choice of components from any third-party vendor.
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 focusing exclusively on providing the server hardware and leaving software integration to the customer.

5. What is the fundamental purpose of HPE AI Solutions, including High-Performance Computing (HPC), in a business context?

A) To replace all human employees with automated systems.
B) To provide basic file and print services for small office environments.
C) To offer a simple, low-cost alternative to traditional desktop computers for office productivity applications.
D) To enable organizations to analyze vast amounts of data, run complex simulations, and train AI models to accelerate innovation and gain competitive insights.

Solutions: