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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing and Operating HPE Private Cloud AI Solutions | 30% | - Describe the tools and methods for managing HPE Private Cloud AI - Explain backup and recovery procedures - Identify how to manage storage and data resources - Explain how to monitor HPE Private Cloud AI performance and health - Identify troubleshooting procedures and common issues - Describe how to manage users and access control |
| Topic 2: Architecting HPE Private Cloud AI Solutions | 20% | - 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 - Describe how HPE Private Cloud AI supports AI/ML workloads |
| Topic 3: Supporting HPE Private Cloud AI Solutions | 20% | - Describe support resources and documentation - Identify how to perform firmware and software updates - Describe capacity planning and optimization best practices - Explain how to work with HPE support services |
| Topic 4: Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Describe how to validate the HPE Private Cloud AI installation - 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 |
HPE Private Cloud AI Solutions Sample Questions:
Question 1
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)?
A. 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
B. 3x HPE ProLiant DL325 Gen11 servers for management
C. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
D. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
Question 2
A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?
A. HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
B. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
C. HPE ProLiant DL380a Gen11 server with CPU-only configuration
D. HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
Question 3
A customer explains that their data engineers are spending too much time managing disparate data pipelines with a complex set of open-source tools. They are an 'Early AI User' trying to standardize their approach.
Which value proposition of HPE Private Cloud AI directly addresses this specific stakeholder's pain point?
A. Its management plane uses three redundant HPE ProLiant DL325 servers for high availability.
B. It can be deployed in a colocation facility through HPE GreenLake.
C. It includes HPE AI Essentials, which provides a unified platform with pre-integrated data pipeline and workflow tools like Apache Airflow and Spark.
D. It offers a choice of NVIDIA GPUs to accelerate model training.
Question 4
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. Access to a command-line interface for the network switches.
B. The specific version of the CUDA driver used by the NVIDIA GPUs.
C. A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.
D. The ability to write Python code in a Jupyter Notebook.
E. The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
Question 5
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.)
A. A sample Python script for running the first inference job.
B. A list of recommended HPE education courses for the IT staff.
C. The total weight of the solution for data center floor loading considerations.
D. The estimated power consumption in kW per rack.
E. A list of recommended AI models for the specified use case.
Solutions:
| Question 1 Answer: D | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: C,E | Question 5 Answer: C,D,E |








