HPE Private Cloud AI Solutions : HPE2-B08

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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. A customer needs to run a generative AI workload at multiple, dispersed edge locations. Each location has significant space and power constraints. The workload is inference-only and does not require the absolute highest performance, but rather a balance of good performance and energy efficiency.
Which HPE ProLiant server and NVIDIA GPU combination is specifically positioned for this type of edge AI use case?

A) HPE Cray system with NVIDIA Grace Hopper Superchips
B) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
C) HPE ProLiant DL380a server with NVIDIA H100 NVL GPUs
D) HPE ProLiant DL384 Gen12 server with NVIDIA H200 NVL GPUs

2. 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) Drug Discovery
C) Computer Vision / Intelligent Video Analytics
D) Recommender Systems

3. After using the HPE Intelligent Configurator, an architect reviews the output for a proposed HPE Private Cloud AI solution.
In addition to the BOM, what other critical information does the tool provide that is essential for site readiness planning? (Select all that apply.)

A) A sample Python script for running the first inference job.
B) A list of recommended HPE education courses for the IT staff.
C) The total weight of the solution for data center floor loading considerations.
D) The estimated power consumption in kW per rack.
E) A list of recommended AI models for the specified use case.

4. An architect is working with a customer who has been identified as an 'AI Pro'. They have a mature AI practice and are looking to scale their efforts in creating 'digital twin' simulations for automotive prototypes. This involves complex, graphics-intensive AI workloads. The customer wants a full-stack, turnkey private cloud solution to accelerate this initiative.
What is the most appropriate HPE solution to position for this customer?

A) A custom solution built on individual HPE ProLiant servers.
B) An HPE AI Services - Transformation Workshop to redefine their goals.
C) A set of AI-optimized HPE ProLiant DL servers for edge deployment.
D) HPE Private Cloud AI with NVIDIA.

5. What is the primary function of hidden layers in a deep learning model?

A) To store the complete training dataset for real-time retrieval during inference.
B) To format the final output of the network into a human-readable prediction or classification.
C) To apply weights and transformations to the outputs of preceding layers, allowing the network to learn progressively more complex features.
D) To directly receive the initial, raw input data for the model.

Solutions: