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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

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

2. 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.)
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Customer Profile:
- Maturity: Early AI User
- Main Challenge: Complexity of AI software stack
- Goal: Accelerate adoption of generative AI
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A) The solution requires the customer to manually integrate all software components, which promotes learning.
B) NVIDIA NIMs drastically simplify the deployment of pre-trained models into production-ready microservices.
C) NVIDIAAI Enterprise provides enterprise-grade support, security, and API stability for the entire AI software stack.
D) HPE AI Essentials provides a unified, self-service platform with curated open-source tools, eliminating integration complexity.
E) The software stack is limited to only HPE-developed tools to ensure a single point of contact.

3. 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) 3x HPE ProLiant DL325 Gen11 servers for management
B) 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
C) 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
D) 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs

4. An architect is assessing a customer's workloads to position the correct HPE Private Cloud AI configuration. The customer has a single, massive task: training a foundational vision model from scratch using a petabyte-scale image dataset. The project is expected to take months and requires the absolute maximum compute performance available.
Which AI workload type does this represent, and which HPE solution is most appropriate?

A) Workload: AI Model Training; Solution: HPE Cray Systems
B) Workload: RAG; Solution: HPE Private Cloud AI - Medium configuration
C) Workload: Edge Computing; Solution: HPE ProLiant DL320 server
D) Workload: AI Inferencing; Solution: AI-optimized HPE ProLiant DL servers

5. An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A) Project 1 is a model training workload.
B) Project 2 is a classic inferencing workload with no model customization.
C) Project 2 is a fine-tuning workload.
D) Project 1 is a RAG (Retrieval-Augmented Generation) workload.

Solutions: