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| Section | Objectives |
|---|---|
| Topic 1: AI Infrastructure Design | - Compute and GPU considerations - Storage and data pipeline design - Networking for AI workloads |
| Topic 2: HPE Private Cloud AI Fundamentals | - Core AI workload characteristics - Overview of private cloud AI concepts |
| Topic 3: Security in Private Cloud AI | - Workload and data protection - Identity and access management |
| Topic 4: Data Management and Governance | - Data lifecycle management - Data governance and compliance |
| Topic 5: HPE GreenLake for AI Solutions | - Consumption-based IT model for AI - GreenLake architecture and services |
| Topic 6: Deployment and Operations | - Lifecycle management of AI infrastructure - Monitoring and optimization - Deployment models for AI solutions |
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NEW QUESTION # 60
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)?
Answer: D
NEW QUESTION # 61
An enterprise wants to deploy pre-trained foundation models from various sources for multiple business units. A key requirement is to simplify and standardize the deployment process, regardless of the model's origin. They want a solution that packages models into scalable, optimized, and easy-to-use microservices with a standard API.
Which component of the NVIDIA AI Enterprise software suite directly addresses this need?
Answer: B
NEW QUESTION # 62
A customer is using the HPE Intelligent Configurator to determine the correct size for an HPE Private Cloud AI solution. Their primary use case is a text generation chatbot for internal HR support.
What is the MOST critical piece of information the customer must provide to the sizing tool to get an accurate recommendation for the number and type of GPUs required?
Answer: B
NEW QUESTION # 63
An architect is designing a distributed training solution using HPE Private Cloud AI. The solution involves multiple HPE ProLiant DL380a servers, each with four NVIDIA H100 GPUs.
Review the logical network topology:
```
[HPE ProLiant Server 1] \
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
\
[NVIDIA Spectrum Switch (RoCE)] <--> [HPE GreenLake for File Storage]
/
[HPE ProLiant Server 2] /
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
```
Which interconnect technology facilitates the highest-bandwidth communication path labeled "(Internal)" for scaling the training job across the GPUs within a single server?
Answer: D
NEW QUESTION # 64
A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?
Answer: D
NEW QUESTION # 65
......
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