HP HPE2-B08 valid study dumps : HPE Private Cloud AI Solutions

An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

• A. NVIDIA SN4700M switches supporting 200GbE RoCE
• B. HPE Aruba Networking CX 6300M switches
• C. NVIDIA L40S GPUs
• D. NVIDIA NVLink Bridge
• E. NVIDIA H100 NVL GPUs

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

An AI application is being developed to analyze financial time-series data to predict stock market trends. The model needs to understand long-term dependencies and the sequence in which data points occur.
Which neural network architecture is specifically designed to handle sequential data like text or time- series?

• A. Convolutional Neural Network (CNN)
• B. A fully connected, feedforward neural network
• C. K-Means Clustering Algorithm
• D. Transformer model

A customer needs a solution for two primary workloads: large-scale model training and real-time inference. They have a team of data scientists who are constantly developing new models and a separate operations team that deploys and manages these models in production.
Which statement best describes how the different stakeholders would interact with the HPE Private Cloud AI solution?

• A. The data scientists would primarily use tools within HPE AI Essentials (like JupyterLab and MLFlow) for model development, while the operations team would use NVIDIA NIMs to deploy the finished models.
• B. Both the data scientists and the operations team would use the HPE Intelligent Configurator to manage the models.
• C. The entire process for all stakeholders is managed through the server's iLO interface.
• D. The data scientists would use NVIDIA NIMs to train the models, and the operations team would use HPE Data Fabric to serve them.

An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

• A. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge
• B. HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
• C. HPE Alletra Storage MP with RoCE-capable network adapters
• D. HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs