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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q18-Q23):

NEW QUESTION # 18
A large enterprise is adopting HPE Private Cloud AI and needs to accelerate the development of several generative AI applications. Their data science team wants to leverage pre-trained foundation models from NVIDIA but needs to customize them for specific business tasks like contract summarization and internal policy Q&A.
Which NVIDIA AI Enterprise software framework provides a comprehensive, end-to-end toolkit for curating data, customizing models using techniques like PEFT, and implementing guardrails for safe deployment?
```
Customer Goal:
- Accelerate development of custom generative AI apps
- Utilize pre-trained foundation models
- Require tools for data prep, model customization, and safety
```

Answer: B


NEW QUESTION # 19
A customer's ML Engineer states, "We need to deploy our trained models, and our top priority is simplifying the process. We want to treat our models like cattle, not pets-packaging them into standardized, optimized containers that we can deploy and scale easily via an API." This statement describes the primary benefit of which software component in the HPE Private Cloud AI stack?

Answer: C


NEW QUESTION # 20
A customer's distributed AI training job is experiencing poor performance. An analysis reveals high network latency. The architect suspects a misconfiguration in the NVIDIA Spectrum switches that form the RoCE-based AI fabric.
They review the following configuration snippet from one of the switch ports connected to a compute node:
```
interface ethernet 1/1
description "Connection to PCAI-Node-1"
speed 200G
mtu 9216
switchport mode trunk
## Priority Flow Control (PFC) is disabled on this port
```
What is the most likely cause of the performance issue?

Answer: A


NEW QUESTION # 21
A customer has selected the "HPE Private Cloud AI - Medium - Expanded" configuration.
Which of the following resource counts correctly describes this specific configuration?

Answer: D


NEW QUESTION # 22
A customer is using the NVIDIA NeMo framework within HPE Private Cloud AI to build a custom generative AI application. They need to fine-tune a foundation model using a proprietary dataset. They also want to ensure the final application does not produce toxic content or veer into off-topic conversations.
Which specific toolkits within the NeMo framework should they use to achieve these two distinct goals?
(Choose 2.)

Answer: A,D


NEW QUESTION # 23
......

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