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HP Selling HPE AI and As-a-Service Solutions Sample Questions (Q16-Q21):

NEW QUESTION # 16
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. Data Services Cloud Console (DSCC), to manage storage for the network.
B. HPE Financial Services, to create a custom lease for new switches.
C. HPE GreenLake for Aruba (using Aruba Central), to deliver NaaS.
D. OpsRamp, to monitor the existing Private Cloud.

Answer: C

NEW QUESTION # 17
A customer is interested in HPE Aruba Networking Central for managing their campus and branch networks. They want to understand the specific value of its AIOps capabilities.
Customer Question: "We have network monitoring tools today.
What does the 'AI' in Aruba Central's AIOps actually do for me?"
How should the sales professional describe the value of AIOps in HPE Aruba Networking Central?

A. It allows network administrators to write and execute custom Python scripts directly on the switches.
B. It automatically orders new hardware when capacity limits are reached.
C. It provides AI-powered insights that predict and resolve potential user connectivity and performance issues before they generate help desk tickets.
D. It generates a single, monthly invoice for all network-related services.

Answer: C

NEW QUESTION # 18
What is the primary role of HPE Services in a customer's as-a-service or AI solution adoption journey?

A. To provide only break/fix hardware replacement for servers and storage.
B. To act as a trusted advisor and expert implementer, helping customers plan, migrate, operate, and evolve their hybrid cloud and AI environments.
C. To offer financing and leasing options to help customers acquire technology with an OpEx model.
D. To sell third-party software licenses for applications that run on HPE hardware.

Answer: B

NEW QUESTION # 19
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 centralized, cloud-only storage solution for archiving data.
B. Low-power, low-cost CPUs for maximum energy efficiency.
C. A simple file-sharing protocol like SMB.
D. High-throughput, low-latency networking to move video data without delay.
E. High-performance, GPU-based accelerated computing to run the AI inference models.

Answer: D,E

NEW QUESTION # 20
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. Intent-based provisioning where an administrator defines the desired service level (e.g., mission-critical tier) and the system automates placement and data protection.
B. The ability to provision storage by specifying the capacity, host group, and RAID level.
C. The use of Consumption Analytics to track historical usage and forecast future costs.
D. The use of AI-powered "cross-stack analytics" to predict and prevent performance issues before they impact applications.
E. The ability to monitor power consumption and carbon footprint from the sustainability dashboard.

Answer: A,D

NEW QUESTION # 21
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