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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design HPE Solutions for AI and HPC Workloads | 50% | - Solution architecture and design
|
| Topic 2: Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Topic 3: Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - Management and automation
|
| Topic 4: Demonstrate AI Solutions | 10% | - AI solution demonstration
|
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
1. You are configuring a solution in One Config Advanced (OCA).
What is a use case for the Customer Intent Document (CID)?
A) Receiving guidance for cabling layouts for integrated solutions
B) Providing special testing instructions associated with a Factory Express Service
C) Specifying the units of measurement for HPE GreenLake billing tiers
D) Indicating the support term for HPE Complete Care Services
2. You are proposing 32 HPE Cray XD670 systems with HPE Performance Cluster Manager (HPCM) to a customer.
What is one benefit of HPCM that you should emphasize?
A) HPCM makes it much easier to deploy and patch the systems' operating systems.
B) HPCM integrates with HPE Compute Ops Management to provide a single interface for monitoring a system's health.
C) HPCM enables the systems to support secure boot and hardware root of trust.
D) HPCM provides GPU-compatible scheduling software for HPC jobs.
3. A customer asks about the options HPE Private Cloud AI includes out of the box for hyperparameter optimization (HPO) during fine-tuning.
What is one thing that you should explain?
A) Administrators must install a Livy server with which users can run interactive HPO sessions.
B) Users can apply HPO to any training code by uploading the code to the MLflow UI accessible from HPE AI Essentials out of the box.
C) Users can run Katib experiments using the built-in Kubeflow framework, which includes several predefined trial templates.
D) Administrators must expose the built-in Kuberay head service port 10001 externally in order to support Ray Tune.
4. A healthcare AI research team has a software stack for AI-based image analysis and LLM-based diagnostics. However, the team needs hardware that better supports this use case.
Which hardware option fulfills these technical requirements?
A) HPE Synergy 480 Gen12 with two 48-core processors
B) HPE ProLiant DL580 Gen12 with four 32-core processors
C) HPE ProLiant DL360 Gen12 with NVIDIA L4 GPUs and two 32-core processors
D) HPE ProLiant DL384 Gen12 with NVIDIA GH200 NVL2
5. What is one benefit of NVIDIA NIM in the HPE Private Cloud AI architecture?
A) It provides optimized inferencing container images.
B) It enables integration between open-source frameworks, such as Kubeflow, and HPE AI Essentials.
C) It provides NVLink bridges for accelerating distributed training.
D) It automates cleanup of idle workloads using GPUs.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |







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