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| Section | Objectives |
|---|---|
| Security in Private Cloud AI | - Identity and access management - Workload and data protection |
| HPE Private Cloud AI Fundamentals | - Overview of private cloud AI concepts - Core AI workload characteristics |
| AI Infrastructure Design | - Compute and GPU considerations - Storage and data pipeline design - Networking for AI workloads |
| Deployment and Operations | - Monitoring and optimization - Lifecycle management of AI infrastructure - Deployment models for AI solutions |
| Data Management and Governance | - Data lifecycle management - Data governance and compliance |
| HPE GreenLake for AI Solutions | - GreenLake architecture and services - Consumption-based IT model for AI |
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NEW QUESTION # 56
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: A
NEW QUESTION # 57
A customer needs a solution for their deployed customer service chatbot. They state: "We don't need to change the model itself, but we need the chatbot to answer questions using our product documentation, which is updated every night. The answers must be fast and based on the latest documents." How would you categorize this workload?
Answer: B
NEW QUESTION # 58
A financial services firm is building a fraud detection application on HPE Private Cloud AI. The application needs to process a continuous stream of transaction data from multiple sources in real time.
The data science team requires a robust platform to build, manage, and execute the complex data pipelines needed to feed the AI model.
Which pre-integrated open-source tool within HPE AI Essentials is the industry standard for orchestrating and managing these complex data workflows and pipelines?
Answer: D
NEW QUESTION # 59
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: D
NEW QUESTION # 60
An architect is working with a customer who has been identified as an 'AI Pro'. They have a mature AI practice and are looking to scale their efforts in creating 'digital twin' simulations for automotive prototypes. This involves complex, graphics-intensive AI workloads. The customer wants a full-stack, turnkey private cloud solution to accelerate this initiative.
What is the most appropriate HPE solution to position for this customer?
Answer: C
NEW QUESTION # 61
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