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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 |
| HPE Compute Architecture and Technologies | 25% | - Compute component selection: processors, memory, storage, accelerators - Virtualization and container integration - HPE ProLiant, Apollo and Superdome Flex platforms |
| 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% | - Solution demonstration and value justification - Troubleshooting and continuous improvement |
| Implementation and Lifecycle Management | 15% | - Deployment planning and validation - Upgrade, maintenance and monitoring |
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
1. 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) Submit a support request to add the fine-tuned model to the NIMs hosted on HPE Private Cloud AI.
B) Set up a custom OpenLLM registry in which they add the fine-tuned weights.
C) Use environment variables when they deploy the model to point to the NeMo entity store running on AI Essentials.
D) Store the fine-tuned weights in the local S3 object store.
2. You are leading a workshop to help a customer deploy a pilot AI application.
With which data-related task should you help the customer?
A) Pulling data out of Retrieval Augmented Generation (RAG) databases into standard SQL databases
B) Converting all unstructured data such as PDFs into structured data for training datasets
C) Identifying where data is stored and planning to run AI workloads nearby
D) Storing data unencrypted in a single location so that it is ready for training
3. Which statement correctly describes services for HPE ProLiant servers using direct liquid cooling (DLC)?
A) HPE provides optional DLC installation services, which partners can supplement with their own.
B) HPE provides DLC consulting services and encourages partners to offer their own installation services.
C) 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.
D) HPE Direct Liquid Cool Startup services are required for all racks of servers using DLC.
4. A customer runs a transactional database with a write-intensive I/O profile on twelve SAS SSDs attached to an HPE MR controller and requires fault tolerance with minimal write penalty.
Which RAID level should you recommend?
A) RAID 6
B) RAID 5
C) RAID 10
D) RAID 50
5. 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 run Katib experiments using the built-in Kubeflow framework, which includes several predefined trial templates.
C) 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.
D) Administrators must expose the built-in Kuberay head service port 10001 externally in order to support Ray Tune.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
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