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HP HPE2-B08 Exam Syllabus Topics:

Section	Objectives
Topic 1: Deployment and Operations	- Lifecycle management of AI infrastructure - Monitoring and optimization - Deployment models for AI solutions
Topic 2: Data Management and Governance	- Data lifecycle management - Data governance and compliance
Topic 3: Security in Private Cloud AI	- Workload and data protection - Identity and access management
Topic 4: HPE Private Cloud AI Fundamentals	- Overview of private cloud AI concepts - Core AI workload characteristics
Topic 5: HPE GreenLake for AI Solutions	- GreenLake architecture and services - Consumption-based IT model for AI
Topic 6: AI Infrastructure Design	- Compute and GPU considerations - Storage and data pipeline design - Networking for AI workloads

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HPE Private Cloud AI Solutions Sample Questions (Q74-Q79):

NEW QUESTION # 74
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. Number of users, Preferred GPU model, Data center location
B. Use case, Model choice, Network switch preference
C. Use case, Number of users, RAG requirement
D. RAG requirement, Power and cooling capacity, Desired software license term

Answer: C

NEW QUESTION # 75
A sales professional is preparing a quote for an HPE Private Cloud AI solution in OCA and needs to ensure the correct support services are attached.
What is the default level of support included with all components when using the "Flexible services" option in the Smart Template?

A. HPE Tech Care, Critical
B. HPE Tech Care, Essential
C. HPE Complete Care Service
D. HPE Tech Care, Basic

Answer: B

NEW QUESTION # 76
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. The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.
B. Its ability to run on a single, low-power server for maximum efficiency.
C. A simple, web-based interface for beginners to learn about AI concepts.
D. Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
E. The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.

Answer: A,D,E

NEW QUESTION # 77
A large financial institution, a known "Deployer of AI at scale," needs to train a next-generation fraud detection model. This new model has over a trillion parameters, significantly larger than their current models, and requires an exascale-class computing solution to be trained in a reasonable timeframe.
Which HPE AI solution should be positioned to meet this customer's demanding requirement?

A. AI-optimized HPE ProLiant DL servers
B. HPE Private Cloud AI with NVIDIA, Large configuration
C. HPE GreenLake for File Storage
D. HPE Cray systems

Answer: D

NEW QUESTION # 78
A customer is planning to deploy an HPE Private Cloud AI solution. Their IT department has provided a worksheet detailing the workload requirements. The solution architect needs to select the appropriate configuration size.
Review the customer's requirements:
```
- Primary Workload: Fine-tuning a 70-billion parameter foundation model
- Secondary Workload: AI Inferencing with RAG
- User Base: 50 developers during tuning; 300 concurrent users for inference
- Data Sensitivity: High (must remain on-premises)
- Power/Cooling: Standard data center air cooling available
```
Which HPE Private Cloud AI configuration is required to meet these demands, and what is the key component that justifies this choice? (Choose 2.)

A. The solution requires a Large configuration.
B. The key component is the HPE ProLiant DL325 server in the management plane.
C. The key component is the NVIDIA H100 NVL GPU, designed for large-scale training and fine-tuning.
D. The key component is the NVIDIA L40S GPU, which is optimized for RAG workloads.
E. The solution requires a Medium configuration.

Answer: A,C

NEW QUESTION # 79
......

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