Test HPE2-B08 Questions Pdf & HPE2-B08 Sample Questions Pdf

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HP HPE2-B08 Exam Syllabus Topics:

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

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Free HP HPE2-B08 Questions [2026] – Fully Updated

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HPE Private Cloud AI Solutions Sample Questions (Q46-Q51):

NEW QUESTION # 46
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. Drug Discovery
B. Computer Vision / Intelligent Video Analytics
C. Natural Language Processing (NLP)
D. Recommender Systems

Answer: B

NEW QUESTION # 47
An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?

A. Transformers use an attention mechanism to understand the contextual relationships between all words in the text, which is critical for summarization.
B. CNNs can only process images, not text.
C. CNNs require significantly more training data than Transformers.
D. Transformers can be trained without GPUs, unlike CNNs.

Answer: A

NEW QUESTION # 48
An architect uses the HPE Intelligent Configurator for a customer with 120 concurrent users for a text generation task with RAG. The tool recommends a "Medium - Expanded (4-node)" configuration. The customer then reveals they want to use a smaller, more efficient 7B parameter model instead of the 13B model the tool defaulted to.
How will this change in model size likely affect the sizing tool's recommendation?

A. It will require the architect to switch to the "application capacity" sizing method.
B. It will have no effect, as the number of users is the primary factor.
C. It will downgrade the recommendation to a "Medium - Standard (2-node)" configuration.
D. It will upgrade the recommendation to a "Large - Standard (4-node)" configuration.

Answer: C

NEW QUESTION # 49
A financial services company, currently at the 'AI Pro' maturity level, wants to build a private cloud solution to support two primary initiatives:
1. Initiative 1: Fine-tune a proprietary 70B parameter LLM for fraud detection, requiring maximum training performance.
2. Initiative 2: Deploy a customer-facing RAG-based chatbot for 500 concurrent users.
The customer wants a single, integrated solution that can handle both workloads efficiently. They have a new data center with ample power and cooling.
Which HPE Private Cloud AI configuration should the architect recommend?

A. Two separate solutions: a Small - Expanded for the RAG workload and a Large - Standard for the fine-tuning workload.
B. Medium - Expanded, because it supports a high number of concurrent users for RAG.
C. Large - Expanded, because its NVIDIA H100 NVL GPUs and eight worker nodes are required for the intensive fine-tuning workload.
D. A custom-built solution using HPE ProLiant DL325 servers and NVIDIA L4 GPUs.

Answer: C

NEW QUESTION # 50
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. HPE AI Essentials for a unified data science and MLOps plane
B. The HPE Intelligent Configurator
C. A collection of pre-trained community and custom-built AI models
D. NVIDIA NIM (NVIDIA Inference Microservices)
E. NVIDIAAI Enterprise for enterprise-grade support and security

Answer: A,C,D,E

NEW QUESTION # 51
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