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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Architecting HPE Private Cloud AI Solutions20%- Describe how HPE Private Cloud AI supports AI/ML workloads
- Explain common AI use cases and how they map to workloads
- Explain the HPE Private Cloud AI sizing and configuration guidelines
- Describe the AI/ML lifecycle and data pipeline requirements
- Identify components of the HPE Private Cloud AI architecture
Topic 2: Supporting HPE Private Cloud AI Solutions20%- 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: Managing and Operating HPE Private Cloud AI Solutions30%- Explain how to monitor HPE Private Cloud AI performance and health
- Describe how to manage users and access control
- Explain backup and recovery procedures
- Identify troubleshooting procedures and common issues
- Identify how to manage storage and data resources
- Describe the tools and methods for managing HPE Private Cloud AI
Topic 4: Installing and Configuring HPE Private Cloud AI Solutions30%- Identify the steps to configure the HPE Private Cloud AI environment
- Identify how to access and use HPE Private Cloud AI management interfaces
- Explain how to deploy and configure HPE Private Cloud AI components
- Describe how to validate the HPE Private Cloud AI installation
- Describe the prerequisites for installing HPE Private Cloud AI

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HPE Private Cloud AI Solutions Sample Questions (Q18-Q23):

NEW QUESTION # 18
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 # 19
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 # 20
An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

Answer: B


NEW QUESTION # 21
What is the primary function of hidden layers in a deep learning model?

Answer: D


NEW QUESTION # 22
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 # 23
......

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