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| Section | Objectives |
|---|---|
| Topic 1: Security in Private Cloud AI | - Identity and access management - Workload and data protection |
| Topic 2: AI Infrastructure Design | - Compute and GPU considerations - Storage and data pipeline design - Networking for AI workloads |
| Topic 3: HPE Private Cloud AI Fundamentals | - Core AI workload characteristics - Overview of private cloud AI concepts |
| Topic 4: HPE GreenLake for AI Solutions | - GreenLake architecture and services - Consumption-based IT model for AI |
| Topic 5: Deployment and Operations | - Monitoring and optimization - Lifecycle management of AI infrastructure - Deployment models for AI solutions |
| Topic 6: Data Management and Governance | - Data governance and compliance - Data lifecycle management |
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NEW QUESTION # 48
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?
Answer: D
NEW QUESTION # 49
A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)
Answer: A,E
NEW QUESTION # 50
What is the primary architectural advantage of the NVIDIA Grace Hopper Superchip (e.g., GH200) for large-scale AI workloads?
Answer: B
NEW QUESTION # 51
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"?
Answer: D
NEW QUESTION # 52
An enterprise is designing a solution for training a large, custom Convolutional Neural Network (CNN) for a new computer vision application. Their data science team has determined that the training process will need to be distributed across multiple GPUs to be completed in a reasonable timeframe. The training process involves intensive matrix multiplication operations.
The architect is specifying components from the HPE Private Cloud AI solution.
Which infrastructure components are critical for accelerating this specific distributed training workload?
(Select all that apply.)
```
Workload Analysis:
- AI Model: Large Convolutional Neural Network (CNN)
- Task: Distributed Training
- Key Operation: Intensive matrix multiplication
```
Answer: A,E
NEW QUESTION # 53
......
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