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HPE Private Cloud AI Solutions Sample Questions (Q66-Q71):

NEW QUESTION # 66
A customer is building a large-scale AI training cluster using HPE Private Cloud AI.
They have two main requirements for the storage solution:
1. It must provide extremely high throughput and low latency to feed data to a large cluster of NVIDIA H100 GPUs.
2. It must be able to scale performance and capacity independently to accommodate future growth without costly overprovisioning.
The architect is proposing HPE GreenLake for File Storage.
Which architectural features of this solution directly address the customer's requirements? (Select all that apply.)
```
Customer Requirements:
1. High performance for AI training workloads.
2. Independent scaling of performance and capacity.
```

A. It relies on traditional hard disk drives (HDDs) for cost-effective capacity, with a small flash tier for caching.
B. It uses a disaggregated architecture, allowing controller nodes (performance) and storage shelves (capacity) to be scaled separately.
C. It includes HPE Data Fabric, providing a global namespace across the worker nodes' local drives.
D. It is managed exclusively through a command-line interface (CLI) for maximum control.
E. It supports GPUDirect Storage (GDS) over a high-speed NVMe-oF (RoCE) network, enabling a direct, low-latency path between storage and GPUs.

Answer: B,E

NEW QUESTION # 67
An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?

A. 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
B. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
C. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
D. 3x HPE ProLiant DL325 Gen11 servers for management

Answer: B

NEW QUESTION # 68
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. K-Means Clustering Algorithm
B. Convolutional Neural Network (CNN)
C. Transformer model
D. A fully connected, feedforward neural network

Answer: C

NEW QUESTION # 69
An architect is explaining the structure of a simple Artificial Neural Network (ANN) to a client.
Review the following diagram of the network:
```
Input Layer Hidden Layer Output Layer
(Node) -- (Node) -- (Node)
(Node) / (Node) -- (Node)
(Node) --/ (Node) / (Node)
```
Which component of the network is responsible for producing the final prediction, such as classifying an image as either a "cat" or a "dog"?

A. Hidden Layer
B. Input Layer
C. The connections between the Input and Hidden layers
D. Output Layer

Answer: D

NEW QUESTION # 70
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).

Answer: C,D,E

NEW QUESTION # 71
......

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