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| Section | Objectives |
|---|
| Topic 1: HPE Private Cloud AI Fundamentals | - Overview of private cloud AI concepts - Core AI workload characteristics
|
| Topic 2: HPE GreenLake for AI Solutions | - GreenLake architecture and services - Consumption-based IT model for AI
|
| Topic 3: Security in Private Cloud AI | - Identity and access management - Workload and data protection
|
| Topic 4: Data Management and Governance | - Data governance and compliance - Data lifecycle management
|
| Topic 5: AI Infrastructure Design | - Compute and GPU considerations - Storage and data pipeline design - Networking for AI workloads
|
| Topic 6: Deployment and Operations | - Lifecycle management of AI infrastructure - Monitoring and optimization - Deployment models for AI solutions
|
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HPE Private Cloud AI Solutions Sample Questions (Q15-Q20):
NEW QUESTION # 15
In a Natural Language Processing (NLP) task, what is the role of a tokenizer?
- A. To encrypt the input text to ensure data privacy during model training.
- B. To convert a sentence of raw text into a sequence of numerical tokens that a model can process.
- C. To train the neural network using backpropagation.
- D. To apply a final activation function to determine the output class.
Answer: B
NEW QUESTION # 16
A customer needs a solution for AI inferencing at the edge for a computer vision application. They have determined a Small configuration of HPE Private Cloud AI is sufficient. The solution also requires several value-added services, including an AI transformation workshop and a data design service.
How should an architect attach these services in One Config Advanced (OCA)?
- A. The services can be selected and added to the configuration as optional line items within OCA.
- B. The services must be quoted separately from the hardware and software configuration.
- C. The services are automatically included in the Smart Template and require no action.
- D. The architect must open a support ticket with HPE to have the services added to the quote.
Answer: A
NEW QUESTION # 17
A customer wants a single platform to handle the following workloads:
* Real-time fraud detection using a trained model (Inference).
* A chatbot for internal support that uses a corporate knowledge base (RAG).
* Quarterly updates to their custom logistics model (Fine-tuning).
The customer is an 'AI Pro' looking for a turnkey, on-premises cloud experience.
Which HPE solution is designed to handle this mix of inference, RAG, and fine-tuning workloads?
- A. A standalone cluster of AI-optimized HPE ProLiant servers
- B. HPE Private Cloud AI with NVIDIA
- C. HPE GreenLake for File Storage
- D. A dedicated HPE Cray system
Answer: B
NEW QUESTION # 18
You are in a meeting with the VP of Manufacturing for a large industrial company. She describes their AI program as follows:
"We have a formal Center of Excellence for AI that reports directly to the CTO. Our strategy is to scale our successful predictive maintenance models across all 25 of our global plants. We have standardized on a consistent cloud and data governance strategy for all AI projects and have clear ROI targets for reducing downtime." Based on this description, which AI maturity level best describes this customer?
- A. AI Beginner
- B. AI Pro
- C. AI Curious
- D. Early AI user
Answer: B
NEW QUESTION # 19
You are positioning HPE Private Cloud AI to a customer who is an "AI Pro" and wants to scale their generative AI efforts.
Which key capabilities of the solution would you emphasize to this customer? (Select all that apply.)
- A. The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.
- B. The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.
- C. Its ability to run on a single, low-power server for maximum efficiency.
- D. Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
- E. A simple, web-based interface for beginners to learn about AI concepts.
Answer: A,B,D
NEW QUESTION # 20
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