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HP HPE2-B08 valid dump torrent : HPE Private Cloud AI Solutions
- Exam Code: HPE2-B08
- Exam Name: HPE Private Cloud AI Solutions
- Updated: Sep 28, 2026
- Q&As: 87 Questions and Answers
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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Describe the prerequisites for installing HPE Private Cloud AI - Explain how to deploy and configure HPE Private Cloud AI components - Identify the steps to configure the HPE Private Cloud AI environment - Identify how to access and use HPE Private Cloud AI management interfaces - Describe how to validate the HPE Private Cloud AI installation |
| Supporting HPE Private Cloud AI Solutions | 20% | - Identify how to perform firmware and software updates - Explain how to work with HPE support services - Describe capacity planning and optimization best practices - Describe support resources and documentation |
| Managing and Operating HPE Private Cloud AI Solutions | 30% | - Identify how to manage storage and data resources - Identify troubleshooting procedures and common issues - Describe the tools and methods for managing HPE Private Cloud AI - Explain backup and recovery procedures - Describe how to manage users and access control - Explain how to monitor HPE Private Cloud AI performance and health |
| Architecting HPE Private Cloud AI Solutions | 20% | - 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 - Describe the AI/ML lifecycle and data pipeline requirements - Describe how HPE Private Cloud AI supports AI/ML workloads |
HPE Private Cloud AI Solutions Sample Questions:
Question #1
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. It offers a choice of NVIDIA GPUs to accelerate model training.
- B. It can be deployed in a colocation facility through HPE GreenLake.
- C. Its management plane uses three redundant HPE ProLiant DL325 servers for high availability.
- D. It includes HPE AI Essentials, which provides a unified platform with pre-integrated data pipeline and workflow tools like Apache Airflow and Spark.
Correct Answer: D 🗳️
Question #2
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. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
- C. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
- D. 3x HPE ProLiant DL325 Gen11 servers for management
Correct Answer: B 🗳️
Question #3
A large financial institution, a known "Deployer of AI at scale," needs to train a next-generation fraud detection model. This new model has over a trillion parameters, significantly larger than their current models, and requires an exascale-class computing solution to be trained in a reasonable timeframe.
Which HPE AI solution should be positioned to meet this customer's demanding requirement?
- A. HPE GreenLake for File Storage
- B. HPE Private Cloud AI with NVIDIA, Large configuration
- C. AI-optimized HPE ProLiant DL servers
- D. HPE Cray systems
Correct Answer: D 🗳️
Question #4
An enterprise wants to build an internal AI platform that functions like an "App Store." Their goal is to provide various internal development teams with a catalog of curated AI models that they can easily deploy and integrate into their applications without needing deep AI expertise. The platform must be secure, reliable, and scalable.
Which software components within the HPE Private Cloud AI stack are essential to building this platform? (Select all that apply.)
- A. A collection of pre-trained community and custom-built AI models
- B. HPE AI Essentials for a unified data science and MLOps plane
- C. NVIDIAAI Enterprise for enterprise-grade support and security
- D. NVIDIA NIM (NVIDIA Inference Microservices)
- E. The HPE Intelligent Configurator
Correct Answer: A,B,C,D 🗳️
Question #5
You are positioning HPE Private Cloud AI to a customer who is an "AI Pro" and wants to scale their generative AI efforts.
Which key capabilities of the solution would you emphasize to this customer? (Select all that apply.)
- A. Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
- B. The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.
- C. Its ability to run on a single, low-power server for maximum efficiency.
- D. A simple, web-based interface for beginners to learn about AI concepts.
- E. The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.
Correct Answer: A,B,E 🗳️
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