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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. A customer plans to implement machine learning models but has limited visibility into where business data is generated and how it is managed across departments.
During the readiness assessment, which step will best support an accurate evaluation of their AI deployment potential?

A) Identify data sources, formats, ownership, and movement patterns across the organization.
B) Begin by installing a standard data lake connector and mapping legacy tables to object storage.
C) Recommend bypassing initial workshops to begin with a small AI pilot on anonymized data.
D) Focus the session on reviewing backup retention schedules and recovery point objectives.

2. 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 convolutional layers 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 parameters in the model
D) The number of parameters in the model and the floating point precision

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. An HPE Private Cloud AI customer is interested in fine-tuning with Ray and asks how to submit jobs to the Ray cluster running on HPE AI Essentials.
What should you explain?

A) They can install the Ray Tune framework from the administration settings.
B) They can submit jobs directly from the Ray dashboard, which opens from the HPE AI Essentials Tools & Frameworks page.
C) They can run a notebook server on HPE AI Essentials and use its Ray kernel.
D) They can use the HPE AI Essentials API Ray endpoint.

5. You are leading a workshop to help a customer deploy a pilot AI application.
With which data-related task should you help the customer?

A) Identifying where data is stored and planning to run AI workloads nearby
B) Pulling data out of Retrieval Augmented Generation (RAG) databases into standard SQL databases
C) Converting all unstructured data such as PDFs into structured data for training datasets
D) Storing data unencrypted in a single location so that it is ready for training

Solutions: