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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - Management and automation
|
| Topic 2: Demonstrate AI Solutions | 10% | - AI solution demonstration
|
| Topic 3: Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Topic 4: Design HPE Solutions for AI and HPC Workloads | 50% | - Infrastructure integration
|
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
1. Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?
A) Airflow
B) MLflow
C) Ray
D) HPE Machine Learning Inference Software
2. 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 uses S3-compatible object storage, backed by disaggregated block storage, to combine scalability with flexibility.
D) This solution provides clustering for NAS to eliminate bottlenecks and improve I/O.
3. A customer wants to deploy an AI-powered chatbot using HPE Private Cloud AI but needs help putting together all the components.
What should you recommend the customer use?
A) A Ray Serve deployment
B) An NVIDIA AI blueprint
C) A Kubeflow pipeline
D) An Airflow DAG
4. A customer requires assurance that server firmware cannot be compromised by malicious code injected below the OS level.
Which HPE ProLiant feature addresses this requirement?
A) UEFI Secure Boot with Microsoft-signed keys only
B) Intelligent Provisioning firmware validation
C) Trusted Platform Module (TPM) 2.0 measured boot
D) Silicon Root of Trust anchored in the iLO ASIC
5. A customer is evaluating whether to run their AI proof of concept (PoC) in the cloud or on-prem.
They store sensitive data and require low-latency performance.
Which factor supports running the PoC in the data center?
A) Preference for short-term licensing agreements
B) Latency considerations for sensitive data stored locally
C) Need to procure the resources as quickly as possible
D) Desire to minimize staff training on container platforms
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: B |







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