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| Section | Weight | Objectives |
|---|
| Topic 1: Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads
|
| Topic 2: Solution Sizing and Configuration | 17% | - Building configurations via One Config Advanced (OCA) - Using HPE Intelligent Configurator for sizing - Differences between configuration sizes and options
|
| Topic 3: Customer Assessment and Solution Positioning | 15% | - Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions
|
| Topic 4: Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements
|
| Topic 5: Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Software functions supporting AI operations - Benefits of HPE and NVIDIA software stack
|
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HPE Private Cloud AI Solutions Sample Questions (Q55-Q60):
NEW QUESTION # 55
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 includes HPE Data Fabric, providing a global namespace across the worker nodes' local drives.
- B. It supports GPUDirect Storage (GDS) over a high-speed NVMe-oF (RoCE) network, enabling a direct, low-latency path between storage and GPUs.
- C. It uses a disaggregated architecture, allowing controller nodes (performance) and storage shelves (capacity) to be scaled separately.
- D. It is managed exclusively through a command-line interface (CLI) for maximum control.
- E. It relies on traditional hard disk drives (HDDs) for cost-effective capacity, with a small flash tier for caching.
Answer: B,C
NEW QUESTION # 56
A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?
- A. The Large configuration does not support Retrieval-Augmented Generation (RAG).
- B. The Medium configuration has more storage capacity than the Large configuration.
- C. The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.
- D. The Medium configuration is the only one that includes the HPE AI Essentials software.
Answer: C
NEW QUESTION # 57
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. The connections between the Input and Hidden layers
- B. Output Layer
- C. Hidden Layer
- D. Input Layer
Answer: B
NEW QUESTION # 58
A data science team is struggling to manage their AI/ML projects. They use a variety of open-source tools for data preparation, training, and MLOps, but integrating them is complex and time-consuming.
They need a unified platform that provides self-service access to a curated and pre-integrated set of these tools.
Which HPE Private Cloud AI software component is specifically designed to solve this problem?
- A. NVIDIA NIM
- B. HPE GreenLake for File Storage
- C. HPE AI Essentials
- D. HPE Intelligent Configurator
Answer: C
NEW QUESTION # 59
An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?
- A. The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
- B. The Large configuration is the only one that includes HPE GreenLake for File Storage.
- C. The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
- D. The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
Answer: C
NEW QUESTION # 60
......
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