HPE2-B08 試験問題を無料オンラインアクセス

An 'AI Pro' customer wants to deploy a solution to create 'digital twins' of their manufacturing equipment for predictive maintenance simulations. This workload requires significant GPU power for both the simulation and the underlying AI model.
Which HPE solution should be positioned as the primary platform for this advanced, data-center based workload?

• A.A standard data warehouse solution without GPU acceleration.
• B.Individual HPE ProLiant DL320 Gen11 servers at the edge.
• C.The customer's existing VDI environment.
• D.HPE Private Cloud AI with NVIDIA.

A customer states they need an AI solution for a "summarization" use case that will be accessed by approximately 75 concurrent users. The underlying data is updated frequently, so RAG will be required.
When using the HPE Intelligent Configurator, which three inputs are mandatory to get an initial sizing recommendation?

• A.Use case, Number of users, RAG requirement
• B.Number of users, Preferred GPU model, Data center location
• C.RAG requirement, Power and cooling capacity, Desired software license term
• D.Use case, Model choice, Network switch preference

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

What is the primary architectural advantage of the NVIDIA Grace Hopper Superchip (e.g., GH200) for large-scale AI workloads?

• A.It combines a CPU and a GPU on a single superchip, connected by a high-speed, low-latency NVLink-C2C interconnect.
• B.It uses on-chip encryption to create a confidential computing environment for the CPU.
• C.It is the first NVIDIA GPU to feature fourth-generation Tensor Cores for enhanced matrix calculations.
• D.It replaces the need for server memory (DRAM) by using the GPU's global memory exclusively.

An architect uses the HPE Intelligent Configurator for a customer with 120 concurrent users for a text generation task with RAG. The tool recommends a "Medium - Expanded (4-node)" configuration. The customer then reveals they want to use a smaller, more efficient 7B parameter model instead of the 13B model the tool defaulted to.
How will this change in model size likely affect the sizing tool's recommendation?

• A.It will have no effect, as the number of users is the primary factor.
• B.It will upgrade the recommendation to a "Large - Standard (4-node)" configuration.
• C.It will require the architect to switch to the "application capacity" sizing method.
• D.It will downgrade the recommendation to a "Medium - Standard (2-node)" configuration.