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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Solution Design for Enterprise Workloads | 30% | - Requirements analysis and environment assessment - Design for AI, HPC and mission-critical workloads - Scalability, availability and performance optimization |
| Customer Success and Solution Optimization | 10% | - Troubleshooting and continuous improvement - Solution demonstration and value justification |
| HPE Compute Architecture and Technologies | 25% | - Compute component selection: processors, memory, storage, accelerators - Virtualization and container integration - HPE ProLiant, Apollo and Superdome Flex platforms |
| Integration with Data Center Infrastructure | 20% | - Security, compliance and data protection - HPE OneView management and automation - Networking and storage integration |
| Implementation and Lifecycle Management | 15% | - Deployment planning and validation - Upgrade, maintenance and monitoring |
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
You are demonstrating HPE Private Cloud AI and HPE Machine Learning Inference Software to a customer.
The customer says the organization has a custom model stored in an OpenLLM hub that it would like to deploy using 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. While HPE Machine Learning Inference Software does not support deploying custom models, KServe, also provided by HPE Private Cloud AI, does.
- C. HPE Machine Learning Inference Software supports pulling this model from the hub and deploying it.
- 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.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
A customer is evaluating HPE Private Cloud AI for an AI PoC and must choose between a small configuration and a Developer System configuration.
What is one difference that you should explain?
- A. The Developer System uses less powerful L4 GPUs, as opposed to L40S GPUs.
- B. The Developer System has a reduced set of software tools and capabilities compared to the small configuration.
- C. The Developer System uses integrated storage rather than GreenLake for File Storage.
- D. The Developer System runs entirely in the cloud, as opposed to having on-prem hardware.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
An automotive engineering team runs inference workloads for traffic simu-lation and computer-vision models with KServe on HPE Private Cloud AI.
The team also uses GPU-enabled notebooks on HPE Private Cloud AI to test new models. They need GPU usage for the different models to adjust automatically according to current demand, while ensuring the notebooks never keep inferencing workloads from obtaining the GPUs they require.
Which two features support this functionality?
Choose two
- A. Canary roll outs for KServe
- B. Autoscaling for KServe
- C. Kyverno mutating admission policies
- D. HPE AI Essentials scheduler priorities
Correct Answer: B,D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
Which statement accurately explains how HPE servers are selected to serve as nodes in a VMware vSAN ESA cluster?
- A. You can select vSAN ReadyNode configurations from the Broadcom Compatibility Guide or build your own configurations based on VMware guidelines.
- B. You must select vSAN-compatible storage controllers from the Broadcom Compatibility Guide, but you make any choice for other hardware components.
- C. You can build your own configuration based on VMware guidelines or select predefined HPE Smart Templates for vSAN.
- D. You must choose an appropriate HPE vSAN ReadyNode based on the Broadcom Compatibility Guide.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
Which statement accurately describes the services for HPE ProLiant servers that use direct liquid cooling (DLC)?
- A. HPE provides DLC consulting services and encourages partners to offer their own installation services.
- B. HPE Direct Liquid Cool Startup services must be included for the first rack of servers that a customer deploys in a data center, but not for additional racks.
- C. HPE provides optional DLC installation services, which partners can supplement with their own.
- D. HPE Direct Liquid Cool Startup services are required for all racks of servers using DLC.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
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