Free HP HPE2-B08 Exam Dumps Questions & Answers

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

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?

• A.  JupyterLab
• B.  NVIDIA NIM (NVIDIA Inference Microservices)
• C.  Apache Airflow
• D.  HPE Data Fabric

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

An architect is designing an AI solution to create a medical chatbot that assists doctors by answering questions based on the latest published medical research. The system must be highly reliable, and its answers must be traceable to the source publications. The customer has highlighted that their internal data science team lacks the expertise for complex model retraining but can manage data ingestion pipelines.
Given the customer requirements, which architectural components should the architect include in the solution design? (Select all that apply.)
```
Customer Requirements:
- AI Use Case: Medical Research Q&A Chatbot
- Key Constraint: Information must be current and verifiable.
- Team Skills: Limited AI model training expertise.
- Data Source: Continuously updated database of medical journals.
```

• A.  A process for daily fine-tuning of the base LLM on all new research papers.
• B.  A Retrieval-Augmented Generation (RAG) framework to query the vector database.
• C.  An edge-optimized server for model deployment in individual hospital rooms.
• D.  A data ingestion and embedding pipeline to process and add new research to the vector database.
• E.  A pre-trained, general-purpose Large Language Model (LLM).
• F.  A vector database to store embeddings of the medical research papers.

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