Download HP : HPE2-B08 Questions & Answers as PDF & Test Software
Last Updated: Nov 05, 2026
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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
| Customer Assessment and Solution Positioning | 15% | - Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions |
| Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Software functions supporting AI operations - Benefits of HPE and NVIDIA software stack |
| Solution Sizing and Configuration | 17% | - Using HPE Intelligent Configurator for sizing - Differences between configuration sizes and options - Building configurations via One Config Advanced (OCA) |
| Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements |
HPE Private Cloud AI Solutions Sample Questions:
A company has developed a custom fraud detection model. Their data science team wants to deploy this model into production for other applications to use. They want to avoid the complexity of manually configuring the serving environment, optimizing for hardware, and creating a scalable API endpoint.
How does using an NVIDIA Inference Microservice (NIM) within HPE Private Cloud AI simplify this process?
- A. NIM provides a framework that packages the model into an optimized, ready-to-deploy container with a standard API.
- B. NIM directly connects to the raw data sources to perform data preparation and cleaning.
- C. NIM automatically fine-tunes the model on new data to improve its accuracy.
- D. NIM provisions the underlying Kubernetes cluster and physical servers.
Correct Answer: A 🗳️
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 Gen11 server with CPU-only configuration
- C. HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
- D. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
Correct Answer: C 🗳️
A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?
- A. The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.
- B. The Large configuration does not support Retrieval-Augmented Generation (RAG).
- C. The Medium configuration is the only one that includes the HPE AI Essentials software.
- D. The Medium configuration has more storage capacity than the Large configuration.
Correct Answer: A 🗳️
The three pre-defined sizes (Small, Medium, Large) of HPE Private Cloud AI are designed to address different primary workloads. Match the configuration size to its intended primary workload.
*Configuration Size:
1. Small
2. Medium
3. Large
*Primary Workload:
a. AI Inferencing with RAG and large-scale Fine-Tuning
b. AI Inferencing
c. AI Inferencing with RAG
- A. 1-b, 2-c, 3-a
- B. 1-a, 2-b, 3-c
- C. 1-c, 2-a, 3-b
- D. 1-b, 2-a, 3-c
Correct Answer: A 🗳️
A retail customer wants to implement an AI-powered recommender system to personalize product suggestions on their e-commerce website. They are an 'Early AI user' and need a full-stack solution that simplifies deployment and management.
Which HPE AI solution is most appropriate for this use case?
- A. AI-optimized HPE ProLiant DL servers deployed individually
- B. HPE Private Cloud AI with NVIDIA
- C. HPE AI Services - Transformation Workshop
- D. HPE Cray systems
Correct Answer: B 🗳️
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