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A hospital is developing an AI application to automatically detect specific anomalies in medical images like X-rays and MRIs. The task requires the model to learn and identify complex spatial patterns, such as the shapes and textures of tissues and potential tumors.
Which type of neural network architecture is specifically designed for and best suited to this kind of image analysis task? (Select all that apply.)

• A. A model architecture that includes convolutional layers for feature extraction
• B. A Convolutional Neural Network (CNN)
• C. A basic, fully connected Artificial Neural Network (ANN)
• D. A transformer-based model designed for Natural Language Processing (NLP)
• E. A model architecture that includes pooling layers to reduce spatial dimensions

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. The data scientists would use NVIDIA NIMs to train the models, and the operations team would use HPE Data Fabric to serve them.
• C. The entire process for all stakeholders is managed through the server's iLO interface.
• D. Both the data scientists and the operations team would use the HPE Intelligent Configurator to manage the models.

What is the primary purpose of using the "Private Cloud Smart Template" within HPE One Config Advanced (OCA) when quoting an HPE Private Cloud AI solution?

• A. To allow for complete customization of every component, including unsupported hardware.
• B. To ensure a fast, easy, and validated process for generating a complete and accurate Bill of Materials (BOM) for a pre-integrated solution.
• C. To provide a free trial license for the VMware and NVIDIA software.
• D. To automatically generate a network diagram and rack elevation for the customer.

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

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