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HP Hybrid Cloud HPE2-B08

HPE2-B08

Exam Code: HPE2-B08

Exam Name: HPE Private Cloud AI Solutions

Updated: Nov 06, 2026

Q & A: 87 Questions and Answers

HPE2-B08 Free Demo download:

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HP HPE2-B08 Exam Syllabus Topics:

SectionObjectives
Deployment and Operations- Deployment models for AI solutions
- Lifecycle management of AI infrastructure
- Monitoring and optimization
Data Management and Governance- Data governance and compliance
- Data lifecycle management
HPE GreenLake for AI Solutions- Consumption-based IT model for AI
- GreenLake architecture and services
Security in Private Cloud AI- Workload and data protection
- Identity and access management
HPE Private Cloud AI Fundamentals- Overview of private cloud AI concepts
- Core AI workload characteristics
AI Infrastructure Design- Networking for AI workloads
- Storage and data pipeline design
- Compute and GPU considerations

HPE Private Cloud AI Solutions Sample Questions:

Question #1
A customer in the public sector wants to use AI to analyze live video feeds from city-wide cameras to automate public safety tasks like detecting traffic accidents or identifying security threats in real-time.
This is their first major AI initiative.
Which AI use case does this scenario represent?

A. Recommender Systems
B. Drug Discovery
C. Computer Vision / Intelligent Video Analytics
D. Natural Language Processing (NLP)


Question #2
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. NVIDIAAI Enterprise for enterprise-grade support and security
B. The HPE Intelligent Configurator
C. HPE AI Essentials for a unified data science and MLOps plane
D. A collection of pre-trained community and custom-built AI models
E. NVIDIA NIM (NVIDIA Inference Microservices)


Question #3
A customer at the 'Early AI User' maturity stage wants to begin using generative AI. Their primary concern is the complexity of deploying and managing the AI software stack. They are looking for a solution that accelerates their journey by providing a pre-integrated, enterprise-supported software platform for both development and deployment.
How do the software components of HPE Private Cloud AI address this customer's main challenge?
(Select all that apply.)
```
Customer Profile:
- Maturity: Early AI User
- Main Challenge: Complexity of AI software stack
- Goal: Accelerate adoption of generative AI
```

A. The software stack is limited to only HPE-developed tools to ensure a single point of contact.
B. NVIDIA NIMs drastically simplify the deployment of pre-trained models into production-ready microservices.
C. The solution requires the customer to manually integrate all software components, which promotes learning.
D. HPE AI Essentials provides a unified, self-service platform with curated open-source tools, eliminating integration complexity.
E. NVIDIAAI Enterprise provides enterprise-grade support, security, and API stability for the entire AI software stack.


Question #4
What is the primary advantage of using a Smart Template in OCA for HPE Private Cloud AI versus manually configuring a similar set of hardware?

A. The Smart Template provides a 90-day free trial of the entire solution.
B. The Smart Template ensures all necessary and validated components, including specific cables, power cords, and software SKUs, are included correctly.
C. The Smart Template guarantees the lowest possible price for the hardware.
D. The Smart Template allows the use of components from other vendors.


Question #5
An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

A. NVIDIA SN4700M switches supporting 200GbE RoCE
B. NVIDIA H100 NVL GPUs
C. HPE Aruba Networking CX 6300M switches
D. NVIDIA NVLink Bridge
E. NVIDIA L40S GPUs


Solutions:

Question #1
Correct Answer: C
Question #2
Correct Answer: A,C,D,E
Question #3
Correct Answer: B,D,E
Question #4
Correct Answer: B
Question #5
Correct Answer: A,B,D

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