HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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% | - Upgrade, maintenance and monitoring - Deployment planning and validation |
| HPE Compute Architecture and Technologies | 25% | - Virtualization and container integration - HPE ProLiant, Apollo and Superdome Flex platforms - Compute component selection: processors, memory, storage, accelerators |
| 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 |
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
Question #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
Question #2
A customer is considering HPE Private Cloud AI for an AI PoC and needs to choose between a small configuration and a Developer System configuration.
What is one difference that you should explain?
A. The Developer System has a reduced set of software tools and capabilities compared to the small configuration.
B. The Developer System runs entirely in the cloud, as opposed to having on-prem hardware.
C. The Developer System uses less powerful L4 GPUs, as opposed to L40S GPUs.
D. The Developer System uses integrated storage rather than GreenLake for File Storage.
Question #3
A customer must encrypt OS volumes using BitLocker with hardware-backed key protection on new ProLiant Gen11 servers.
What must be present?
A. A Smart Array controller with a Secure Encryption license
B. iLO Advanced Premium Security Edition
C. Self-encrypting drives with a local key manager
D. A TPM 2.0 module enabled in UEFI mode
Question #4
A customer has developed a custom NIM which they store in their NGC Private Registry. The customer would like to use that NIM in inferencing workloads running on HPE Private Cloud AI.
What should you recommend?
A. Finding and importing NVIDIA AI blueprint that supports the custom NIM
B. Downloading the custom NIM to individual users' models-pvc and manually creating KServe endpoints to deploy the NIM
C. Using MLIS with an NGC registry that points to the customer's private registry
D. Using Ray Serve with custom-built deployments based on the custom NIM image
Question #5
A customer has an HPE Private Cloud AI solution, running HPE AI Essentials 1.11. The customer has identified a NIM for an LLM that they want to use. The customer has imported NeMo microservices on the AI Essentials platform. The customer plans to use NeMo Customizer's LoRA to fine-tune the LLM for their purposes.
What should you recommend that the customer do to deploy the fine-tuned model on HPE Private Cloud AI with HPE Machine Learning Inference Software?
A. Set up a custom OpenLLM registry in which they add the fine-tuned weights.
B. Use environment variables when they deploy the model to point to the NeMo entity store running on AI Essentials.
C. Submit a support request to add the fine-tuned model to the NIMs hosted on HPE Private Cloud AI.
D. Store the fine-tuned weights in the local S3 object store.
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: D | Question #3 Correct Answer: D | Question #4 Correct Answer: C | Question #5 Correct Answer: B |
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