HPE Private Cloud AI Solutions : HPE2-B08

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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)

A) 16x NVIDIA L40S GPUs
B) 1x HPE ProLiant DL380a Gen11 Server
C) 4x HPE ProLiant DL380a Gen11 Servers
D) 2x NVIDIA SN4700M Switches
E) 16x NVIDIA H100 NVL GPUs
F) 2x HPE Aruba Networking CX 6300M Switches

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

3. You are in a meeting with the VP of Manufacturing for a large industrial company. She describes their AI program as follows:
"We have a formal Center of Excellence for AI that reports directly to the CTO. Our strategy is to scale our successful predictive maintenance models across all 25 of our global plants. We have standardized on a consistent cloud and data governance strategy for all AI projects and have clear ROI targets for reducing downtime." Based on this description, which AI maturity level best describes this customer?

A) AI Pro
B) AI Curious
C) Early AI user
D) AI Beginner

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

5. A data analytics team is running workloads on an HPE Private Cloud AI solution. They observe that a data ingestion job is not meeting performance expectations, suspecting a CPU bottleneck. They believe the application is not correctly leveraging GPUDirect Storage (GDS), forcing data to be copied through the server's main memory before reaching the GPU.
Which are valid reasons why GDS might not be functioning correctly? (Choose 3.)

A) The network switches are not configured for lossless operation (e.g., PFC is disabled).
B) The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.
C) The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
D) The NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
E) The NVIDIA peer memory driver has not been installed on the guest VM.

Solutions: