HP HPE2-B08 Exam : HPE Private Cloud AI Solutions

HPE2-B08
  • Exam Code: HPE2-B08
  • Exam Name: HPE Private Cloud AI Solutions
  • Updated: Nov 09, 2026
  • Q & A: 87 Questions and Answers

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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Managing and Operating HPE Private Cloud AI Solutions30%- Identify how to manage storage and data resources
- 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
- Describe the tools and methods for managing HPE Private Cloud AI
Installing and Configuring HPE Private Cloud AI Solutions30%- Describe how to validate the HPE Private Cloud AI installation
- Explain how to deploy and configure HPE Private Cloud AI components
- Identify how to access and use HPE Private Cloud AI management interfaces
- Identify the steps to configure the HPE Private Cloud AI environment
- Describe the prerequisites for installing HPE Private Cloud AI
Architecting HPE Private Cloud AI Solutions20%- Explain the HPE Private Cloud AI sizing and configuration guidelines
- Explain common AI use cases and how they map to workloads
- Describe the AI/ML lifecycle and data pipeline requirements
- Describe how HPE Private Cloud AI supports AI/ML workloads
- Identify components of the HPE Private Cloud AI architecture
Supporting HPE Private Cloud AI Solutions20%- Describe capacity planning and optimization best practices
- Identify how to perform firmware and software updates
- Explain how to work with HPE support services
- Describe support resources and documentation

HPE Private Cloud AI Solutions Sample Questions:

Question #1

An architect is in a discovery call with a customer who describes their project: "Our primary goal is to take our massive, proprietary dataset of chemical compound interactions and continuously update our foundational AI model's internal parameters to create a new, specialized model for drug discovery. This process runs 24/7 on a large GPU cluster." How should the architect classify this primary AI workload?

  • A. AI Model Training / Fine-tuning
  • B. AI Inferencing
  • C. Retrieval-Augmented Generation (RAG)
  • D. Edge Computing
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

A hospital is developing an AI application to automatically detect specific anomalies in medical images like X-rays and MRIs. The task requires the model to learn and identify complex spatial patterns, such as the shapes and textures of tissues and potential tumors.
Which type of neural network architecture is specifically designed for and best suited to this kind of image analysis task? (Select all that apply.)

  • A. A model architecture that includes pooling layers to reduce spatial dimensions
  • B. A Convolutional Neural Network (CNN)
  • C. A model architecture that includes convolutional layers for feature extraction
  • D. A transformer-based model designed for Natural Language Processing (NLP)
  • E. A basic, fully connected Artificial Neural Network (ANN)
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Question #3

What is the primary purpose of using the "Private Cloud Smart Template" within HPE One Config Advanced (OCA) when quoting an HPE Private Cloud AI solution?

  • A. To provide a free trial license for the VMware and NVIDIA software.
  • B. To ensure a fast, easy, and validated process for generating a complete and accurate Bill of Materials (BOM) for a pre-integrated solution.
  • C. To automatically generate a network diagram and rack elevation for the customer.
  • D. To allow for complete customization of every component, including unsupported hardware.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

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 Curious
  • B. AI Beginner
  • C. Early AI user
  • D. AI Pro
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

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 must be quoted separately from the hardware and software configuration.
  • B. The services can be selected and added to the configuration as optional line items within OCA.
  • C. The architect must open a support ticket with HPE to have the services added to the quote.
  • D. The services are automatically included in the Smart Template and require no action.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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