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HP HPE2-E84 Exam Syllabus Topics:

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

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

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

3. An HPE sales professional is meeting with a hospital's IT director who is planning a major EHR (Electronic Health Record) system modernization. The IT director has listed several critical concerns.
Customer Requirements:
- The new EHR system is mission-critical and downtime is not an option.
- The hospital's IT team is stretched thin and lacks expertise in complex workload migration.
- The project must be deployed correctly and on-time to meet regulatory deadlines.
- They need ongoing support to ensure the environment remains optimized and secure post-launch.
Which component of the HPE Services portfolio is designed to address the need for expert assistance with planning, migration, and long-term operational support?

A) HPE Services (combining Advisory and Operational Services)
B) HPE Education Services
C) HPE Financial Services
D) A standard HPE hardware warranty

4. An existing HPE GreenLake customer wants to expand their use of the platform. They have successfully deployed HPE GreenLake for Private Cloud Business Edition. Now, they want to provide unified, secure network management for their campus and branch offices via a consumption-based model.
Customer Scenario:
- Current State: HPE GreenLake customer for compute (Private Cloud BE).
- Goal: Add Network-as-a-Service (NaaS) for wired and wireless networks.
- Requirement: Must be managed through a cloud-based console and integrate with their as-a-service strategy.
Which HPE SaaS solution, integrated with the GreenLake platform, should be proposed to meet this NaaS requirement?

A) HPE Financial Services, to create a custom lease for new switches.
B) Data Services Cloud Console (DSCC), to manage storage for the network.
C) OpsRamp, to monitor the existing Private Cloud.
D) HPE GreenLake for Aruba (using Aruba Central), to deliver NaaS.

5. A customer is starting their AI journey and is confused by the different types of AI. They provide a list of potential projects.
Customer AI Project List:
1. A chatbot to answer common HR questions.
2. A system to analyze factory sensor data to predict machine failure.
3. A tool to generate marketing copy for new products.
4. An application to create realistic images from text descriptions.
The sales professional needs to explain that projects 3 and 4 belong to a specific, transformative category of AI.
Which category is this?

A) Generative AI
B) Machine Learning
C) Robotic Process Automation (RPA)
D) Predictive Analytics

Solutions: