A HP credential still carries real weight in 2026 hiring decisions, and the HPE2-B08 exam is the gatekeeper. Behind 2Pass4sure's HPE Private Cloud AI Solutions package stands an expert team that verifies each of the 87 practice questions against what the exam currently tests.

HP HPE2-B08 Exam Overview:

HP HPE2-B08 Exam Syllabus Topics:

HP HPE2-B08 Exam: Everything You Wanted to Ask

HPE Private Cloud AI Solutions Sample Questions:

Question 1

A sales professional is preparing a quote for an HPE Private Cloud AI solution in OCA and needs to ensure the correct support services are attached.
What is the default level of support included with all components when using the "Flexible services" option in the Smart Template?

A. HPE Tech Care, Basic
B. HPE Tech Care, Critical
C. HPE Tech Care, Essential
D. HPE Complete Care Service

Question 2

When a developer deploys an AI model using an NVIDIA Inference Microservice (NIM) on HPE Private Cloud AI, the NIM automatically detects the underlying NVIDIA GPU hardware.
The developer sees the following status message upon deployment:
```
NIM Status:
- Model: mistral-7b-instruct-v0.2
- Status: Running
- Engine Profile: Selected 'TensorRT-LLM FP8' for optimal latency on detected Hopper-class GPU.
```
What does the selection of the 'TensorRT-LLM FP8' engine profile indicate?

A. The NIM container has failed because it requires an FP32 profile to run.
B. The underlying GPU supports the Hopper architecture, and NIM has optimized the model using a lower precision format for faster performance.
C. The NIM container is running on a CPU-only node and is emulating a GPU.
D. The model is being automatically fine-tuned by the NIM using the TensorRT framework.

Question 3

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

Question 4

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 entire process for all stakeholders is managed through the server's iLO interface.
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 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.
D. Both the data scientists and the operations team would use the HPE Intelligent Configurator to manage the models.

Question 5

An architect is designing an AI solution for a financial services company that needs to build a chatbot.
The chatbot must answer customer queries using the company's latest internal policy documents, which are updated daily. The company has a limited budget and no data scientists available for a lengthy model retraining project.
Which approach should the architect recommend?

A. Use a pre-trained model and implement a Retrieval-Augmented Generation (RAG) framework.
B. Use a pre-trained computer vision model to extract text from the policy documents.
C. Fine-tune a pre-trained model daily by retraining it on the entire set of policy documents.
D. Train a new LLM from scratch using only the company's policy documents to ensure data privacy.

Solutions: