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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. 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.)

A) NeMo Customizer
B) NeMo Curator
C) NeMo Guardrails
D) NeMo Retriever
E) NeMo Evaluator

2. A customer is building an application to classify images of defective products on a manufacturing line.
Which type of neural network layer is essential for this model to automatically learn and identify visual features like edges, corners, and textures in the images?

A) An output layer with a softmax function
B) A recurrent layer
C) A convolutional layer
D) A dense (fully connected) layer

3. 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
```

A) NVIDIA NIM (NVIDIA Inference Microservices)
B) NVIDIA RAPIDS
C) NVIDIA Triton Inference Server
D) NVIDIA NeMo

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

A) 2 worker nodes, 8 total L40S GPUs, single rack
B) 4 worker nodes, 16 total H100 NVL GPUs, dual rack
C) 4 worker nodes, 16 total L40S GPUs, single rack
D) 8 worker nodes, 32 total H100 NVL GPUs, dual rack

5. A customer is using the HPE Intelligent Configurator to determine the correct size for an HPE Private Cloud AI solution. Their primary use case is a text generation chatbot for internal HR support.
What is the MOST critical piece of information the customer must provide to the sizing tool to get an accurate recommendation for the number and type of GPUs required?

A) The physical location of the data center where the solution will be deployed.
B) The number of ML engineers who will maintain the model.
C) The estimated number of concurrent users who will be querying the chatbot.
D) The brand of networking switches used in their existing data center fabric.

Solutions: