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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. A global customer operates five HPE OneView appliances in different regions and asks for a single view of all managed resources.
What should you recommend?

A) Configure OneView appliance clustering across regions
B) Migrate all appliances into a single OneView instance
C) Deploy HPE OneView Global Dashboard
D) Enable Remote Support to aggregate the appliances in the HPE Support Center

2. What is one benefit of the NVIDIA AI Enterprise license provided in HPE Private Cloud AI?

A) Autoscaling of models across one or more GPUs based on current demand
B) Drivers to permit executing training pipelines on GPUs outside of containers
C) NVIDIA Data Center GPU Manager (DCGM) available from HPE Private Cloud AI platform
D) Entitlement to use NVIDIA components in blueprints for accelerating AI application development

3. You are proposing HPE Cray Storage Systems C500 for a customer's converged HPC/AI training cluster.
What is one correct explanation of the benefits of this solution for this use case?

A) This solution features an HPE proprietary parallel storage protocol that is optimized for the random read workloads characteristic of HPC/AI.
B) This solution provides strong read and write performance based on Lustre parallel storage.
C) This solution provides clustering for NAS to eliminate bottlenecks and improve I/O.
D) This solution uses S3-compatible object storage, backed by disaggregated block storage, to combine scalability with flexibility.

4. A customer wants you to design a solution for effectively near 100% liquid cooling for their HPE Cray XD systems.
Which solution should you propose?

A) 100% DLC for the HPE Cray XD systems
B) Closed-loop liquid cooling for the HPE Cray XD Systems plus an HPE ARCS
C) 70% DLC for the HPE Cray XD systems plus an HPE RDHX
D) 70% DLC plus a closed-loop liquid cooling system for the HPE Cray XD Systems

5. 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 submit jobs directly from the Ray dashboard, which opens from the HPE AI Essentials Tools & Frameworks page.
B) They can install the Ray Tune framework from the administration settings.
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.

Solutions: