HP HPE2-B08 : HPE Private Cloud AI Solutions

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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. An architect is positioning an HPE Private Cloud AI solution to a customer who is an "AI Pro." The customer's CIO is the key decision maker.
Which benefits of the solution would be most compelling to this stakeholder? (Choose 2.)

A) The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
B) The specific version of the CUDA driver used by the NVIDIA GPUs.
C) A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.
D) The ability to write Python code in a Jupyter Notebook.
E) Access to a command-line interface for the network switches.

2. A retail customer wants to implement an AI-powered recommender system to personalize product suggestions on their e-commerce website. They are an 'Early AI user' and need a full-stack solution that simplifies deployment and management.
Which HPE AI solution is most appropriate for this use case?

A) AI-optimized HPE ProLiant DL servers deployed individually
B) HPE Private Cloud AI with NVIDIA
C) HPE AI Services - Transformation Workshop
D) HPE Cray systems

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

4. A customer is building an application to classify images of defective products on a manufacturing line.
Which type of neural network layer is essential for this model to automatically learn and identify visual features like edges, corners, and textures in the images?

A) An output layer with a softmax function
B) A recurrent layer
C) A convolutional layer
D) A dense (fully connected) layer

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

Solutions: