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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

Question 1

A customer needs a solution for AI inferencing at the edge for a computer vision application. They have determined a Small configuration of HPE Private Cloud AI is sufficient. The solution also requires several value-added services, including an AI transformation workshop and a data design service.
How should an architect attach these services in One Config Advanced (OCA)?

A. The services can be selected and added to the configuration as optional line items within OCA.
B. The architect must open a support ticket with HPE to have the services added to the quote.
C. The services must be quoted separately from the hardware and software configuration.
D. The services are automatically included in the Smart Template and require no action.

Question 2

After using the HPE Intelligent Configurator, an architect reviews the output for a proposed HPE Private Cloud AI solution.
In addition to the BOM, what other critical information does the tool provide that is essential for site readiness planning? (Select all that apply.)

A. The total weight of the solution for data center floor loading considerations.
B. A sample Python script for running the first inference job.
C. The estimated power consumption in kW per rack.
D. A list of recommended AI models for the specified use case.
E. A list of recommended HPE education courses for the IT staff.

Question 3

An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A. Project 2 is a fine-tuning workload.
B. Project 1 is a model training workload.
C. Project 2 is a classic inferencing workload with no model customization.
D. Project 1 is a RAG (Retrieval-Augmented Generation) workload.

Question 4

A data science team is struggling to manage their AI/ML projects. They use a variety of open-source tools for data preparation, training, and MLOps, but integrating them is complex and time-consuming.
They need a unified platform that provides self-service access to a curated and pre-integrated set of these tools.
Which HPE Private Cloud AI software component is specifically designed to solve this problem?

A. HPE Intelligent Configurator
B. HPE AI Essentials
C. HPE GreenLake for File Storage
D. NVIDIA NIM

Question 5

An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

A. A subscription to the NVIDIA NGC catalog for downloading AI models.
B. A list of all end-users who will access the system.
C. A rack elevation diagram for the data center.
D. A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).

Solutions: