HP Advanced HPE Compute Architect Solutions Written : HPE7-S01

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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. Which HPE Private Cloud AI configuration is designed for early development and prototyping use cases?

A) Small
B) Developer System
C) Medium
D) Large

2. You are demonstrating HPE Private Cloud AI and HPE Machine Learning Inference Software to a customer. The customer says that the organization has a custom model, stored in an OpenLLM hub, which they would like to deploy with HPE Machine Learning Inference Software.
What should you explain?

A) While HPE Machine Learning Inference Software does not support deploying custom models, Ray Serve, also provided by HPE Private Cloud AI, does.
B) HPE Machine Learning Inference Software supports pulling this model from the hub and deploying it.
C) While HPE Machine Learning Inference Software does not support deploying custom models, KServe, also provided by HPE Private Cloud AI, does.
D) HPE Machine Learning Inference Software can deploy this model if the customer packages it with Bento Archive and saves it to a PVC in HPE Private Cloud AI.

3. You want to demonstrate HPE Private Cloud AI running a complex AI application, such as a video search app, to a customer.
What is one good resource for putting together this demonstration more quickly?

A) HPE GitHub repo for Airflow demos
B) NVIDIA AI blueprints
C) The tutorials folder in the HPE AI Essentials shared directory
D) NVIDIA CUDA catalog

4. Which factors should you consider when determining the GPU memory requirements for inferencing an AI model?

A) The memory available on the host and the number of parameters in the model
B) The floating point precision and the number of layers in the model
C) The memory available on the host and the number of convolutional layers in the model
D) The number of parameters in the model and the floating point precision

5. A customer complains that firmware and BIOS settings drift between identical Synergy compute modules over time.
What should you recommend to enforce consistency?

A) Schedule quarterly SPP updates from the Composer
B) Apply server profiles created individually per compute module
C) Enable iLO Federation groups across all frames
D) Use server profile templates and monitor for profile compliance

Solutions: