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HP HPE2-B08 Exam Syllabus Topics:

Section	Objectives
AI Infrastructure Design	- Compute and GPU considerations - Networking for AI workloads - Storage and data pipeline design
Data Management and Governance	- Data governance and compliance - Data lifecycle management
Security in Private Cloud AI	- Workload and data protection - Identity and access management
Deployment and Operations	- Deployment models for AI solutions - Lifecycle management of AI infrastructure - Monitoring and optimization
HPE Private Cloud AI Fundamentals	- Overview of private cloud AI concepts - Core AI workload characteristics
HPE GreenLake for AI Solutions	- GreenLake architecture and services - Consumption-based IT model for AI

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HPE Private Cloud AI Solutions Sample Questions (Q80-Q85):

NEW QUESTION # 80
An enterprise wants to build an internal AI platform that functions like an "App Store." Their goal is to provide various internal development teams with a catalog of curated AI models that they can easily deploy and integrate into their applications without needing deep AI expertise. The platform must be secure, reliable, and scalable.
Which software components within the HPE Private Cloud AI stack are essential to building this platform? (Select all that apply.)

A. NVIDIA NIM (NVIDIA Inference Microservices)
B. The HPE Intelligent Configurator
C. HPE AI Essentials for a unified data science and MLOps plane
D. A collection of pre-trained community and custom-built AI models
E. NVIDIAAI Enterprise for enterprise-grade support and security

Answer: A,C,D,E

NEW QUESTION # 81
A customer has used the HPE Intelligent Configurator and determined that the HPE Private Cloud AI
"Small - Expanded" configuration meets their needs. They now need to generate a final, quotable Bill of Materials (BOM).
What is the most direct and efficient method for the sales team to create this BOM?

A. Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.
B. Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.
C. Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).
D. Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).

Answer: D

NEW QUESTION # 82
An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)

A. 1x HPE ProLiant DL380a Gen11 Server
B. 16x NVIDIA H100 NVL GPUs
C. 4x HPE ProLiant DL380a Gen11 Servers
D. 2x NVIDIA SN4700M Switches
E. 2x HPE Aruba Networking CX 6300M Switches
F. 16x NVIDIA L40S GPUs

Answer: C,D,E,F

NEW QUESTION # 83
A customer states they need an AI solution for a "summarization" use case that will be accessed by approximately 75 concurrent users. The underlying data is updated frequently, so RAG will be required.
When using the HPE Intelligent Configurator, which three inputs are mandatory to get an initial sizing recommendation?

A. Use case, Model choice, Network switch preference
B. Number of users, Preferred GPU model, Data center location
C. RAG requirement, Power and cooling capacity, Desired software license term
D. Use case, Number of users, RAG requirement

Answer: D

NEW QUESTION # 84
An architect is positioning an HPE Private Cloud AI solution to a customer who is an "AI Pro." The customer's CIO is the key decision maker.
Which benefits of the solution would be most compelling to this stakeholder? (Choose 2.)

A. The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
B. The specific version of the CUDA driver used by the NVIDIA GPUs.
C. The ability to write Python code in a Jupyter Notebook.
D. Access to a command-line interface for the network switches.
E. A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.

Answer: A,E

NEW QUESTION # 85
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