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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architecting HPE Private Cloud AI Solutions | 20% | - Describe the AI/ML lifecycle and data pipeline requirements - Explain common AI use cases and how they map to workloads - Identify components of the HPE Private Cloud AI architecture - Describe how HPE Private Cloud AI supports AI/ML workloads - Explain the HPE Private Cloud AI sizing and configuration guidelines |
| Topic 2: Supporting HPE Private Cloud AI Solutions | 20% | - Describe support resources and documentation - Describe capacity planning and optimization best practices - Explain how to work with HPE support services - Identify how to perform firmware and software updates |
| Topic 3: Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Identify the steps to configure the HPE Private Cloud AI environment - Describe how to validate the HPE Private Cloud AI installation - Explain how to deploy and configure HPE Private Cloud AI components - Describe the prerequisites for installing HPE Private Cloud AI - Identify how to access and use HPE Private Cloud AI management interfaces |
| Topic 4: Managing and Operating HPE Private Cloud AI Solutions | 30% | - Identify how to manage storage and data resources - Identify troubleshooting procedures and common issues - Explain how to monitor HPE Private Cloud AI performance and health - Describe the tools and methods for managing HPE Private Cloud AI - Explain backup and recovery procedures - Describe how to manage users and access control |
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NEW QUESTION # 50
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?
Answer: B
NEW QUESTION # 51
An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?
Answer: B
NEW QUESTION # 52
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: A
NEW QUESTION # 53
A customer wants to deploy a turnkey private cloud for a variety of generative AI workloads, including RAG-based chatbots and some model fine-tuning. One of their key IT stakeholders is the data engineer.
Which specific challenge for a data engineer is directly addressed by the HPE Data Fabric component within HPE Private Cloud AI?
Answer: A
NEW QUESTION # 54
After using the HPE Intelligent Configurator, an architect reviews the output for a proposed HPE Private Cloud AI solution.
In addition to the BOM, what other critical information does the tool provide that is essential for site readiness planning? (Select all that apply.)
Answer: A,B,E
NEW QUESTION # 55
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