HPE Private Cloud AI Solutions : HPE2-B08

  • Exam Code: HPE2-B08
  • Exam Name: HPE Private Cloud AI Solutions
  • Updated: Sep 11, 2026     Q & A: 87 Questions and Answers

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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing and Operating HPE Private Cloud AI Solutions30%- Explain backup and recovery procedures
- Identify troubleshooting procedures and common issues
- Explain how to monitor HPE Private Cloud AI performance and health
- Identify how to manage storage and data resources
- Describe the tools and methods for managing HPE Private Cloud AI
- Describe how to manage users and access control
Topic 2: Architecting HPE Private Cloud AI Solutions20%- Describe the AI/ML lifecycle and data pipeline requirements
- Describe how HPE Private Cloud AI supports AI/ML workloads
- Explain common AI use cases and how they map to workloads
- Identify components of the HPE Private Cloud AI architecture
- Explain the HPE Private Cloud AI sizing and configuration guidelines
Topic 3: Installing and Configuring HPE Private Cloud AI Solutions30%- Identify the steps to configure the HPE Private Cloud AI environment
- 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
- Describe how to validate the HPE Private Cloud AI installation
Topic 4: Supporting HPE Private Cloud AI Solutions20%- Describe support resources and documentation
- Explain how to work with HPE support services
- Describe capacity planning and optimization best practices
- Identify how to perform firmware and software updates

HPE Private Cloud AI Solutions Sample Questions:

Question #1

An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?

  • A. The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
  • B. The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
  • C. The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
  • D. The Large configuration is the only one that includes HPE GreenLake for File Storage.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

An architect is positioning an HPE Private Cloud AI solution to a customer who is an "AI Pro." The customer's CIO is the key decision maker.
Which benefits of the solution would be most compelling to this stakeholder? (Choose 2.)

  • A. A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.
  • B. The ability to write Python code in a Jupyter Notebook.
  • C. The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
  • D. Access to a command-line interface for the network switches.
  • E. The specific version of the CUDA driver used by the NVIDIA GPUs.
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Question #3

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?

  • A. NVIDIA NeMo
  • B. NVIDIA NIM (NVIDIA Inference Microservices)
  • C. NVIDIA Triton Inference Server
  • D. NVIDIA TAO Toolkit
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

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?

  • A. CNNs can only process images, not text.
  • B. Transformers can be trained without GPUs, unlike CNNs.
  • C. Transformers use an attention mechanism to understand the contextual relationships between all words in the text, which is critical for summarization.
  • D. CNNs require significantly more training data than Transformers.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

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?

  • A. HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs
  • B. HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
  • C. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge
  • D. HPE Alletra Storage MP with RoCE-capable network adapters
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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