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HP HPE2-B08 Exam Syllabus Topics:

Section	Objectives
Deployment and Operations	- Monitoring and optimization - Lifecycle management of AI infrastructure - Deployment models for AI solutions
HPE GreenLake for AI Solutions	- Consumption-based IT model for AI - GreenLake architecture and services
Security in Private Cloud AI	- Identity and access management - Workload and data protection
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
HPE Private Cloud AI Fundamentals	- Core AI workload characteristics - Overview of private cloud AI concepts

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HPE Private Cloud AI Solutions Sample Questions (Q71-Q76):

NEW QUESTION # 71
A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)

A. HPE Cray compute nodes.
B. HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs.
C. 8 worker nodes.
D. HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.
E. 4 worker nodes.

Answer: D,E

NEW QUESTION # 72
You are positioning HPE Private Cloud AI to a customer who is an "AI Pro" and wants to scale their generative AI efforts.
Which key capabilities of the solution would you emphasize to this customer? (Select all that apply.)

A. Its ability to run on a single, low-power server for maximum efficiency.
B. The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.
C. Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
D. A simple, web-based interface for beginners to learn about AI concepts.
E. The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.

Answer: B,C,E

NEW QUESTION # 73
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 1 is a RAG (Retrieval-Augmented Generation) workload.
B. Project 2 is a classic inferencing workload with no model customization.
C. Project 1 is a model training workload.
D. Project 2 is a fine-tuning workload.

Answer: A,D

NEW QUESTION # 74
An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?

A. CNNs require significantly more training data than Transformers.
B. CNNs can only process images, not text.
C. Transformers can be trained without GPUs, unlike CNNs.
D. Transformers use an attention mechanism to understand the contextual relationships between all words in the text, which is critical for summarization.

Answer: D

NEW QUESTION # 75
After an architect selects the "HPE Private Cloud AI - Large - Expanded" Smart Template in OCA, they see it includes a significant number of "HPE Factory Express Complex Unit of SVC" services.
What is the purpose of these bundled services?

A. To provide on-site training for the customer's data science team.
B. To provide a credit for future software purchases on the HPE GreenLake cloud.
C. To allow the customer to exchange the hardware for the next generation at no cost.
D. To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.

Answer: D

NEW QUESTION # 76
......

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