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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Demonstrate AI Solutions | 10% | - AI solution demonstration
|
| Topic 2: Design HPE Solutions for AI and HPC Workloads | 50% | - Infrastructure integration
|
| Topic 3: Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Topic 4: Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - HPE Compute portfolio
|
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
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. An Airflow DAG
- B. A Kubeflow pipeline
- C. A Ray Serve deployment
- D. An NVIDIA AI blueprint
Correct Answer: D 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
You are setting up a demonstration of HPE Private Cloud AI. You will show how easy it is to deploy a NIM with HPE Machine Learning Inference Software. As part of the demonstration, you worked with a developer to create a simple web application that sends queries to this NIM.
What is one important thing to keep in mind about your plan?
- A. You must develop an API that understands the application's queries and incorporates those in the NIM as a custom image.
- B. You will need to set up the application to include an API token, associated with the deployment, in the headers of requests.
- C. You must establish a private NGC registry and collect its credentials to prepare for defining the source in HPE Machine Learning Inference Software.
- D. You must set up a storageclass that references HPE GreenLake for File Storage in advance to ensure that the deployment proceeds correctly.
Correct Answer: B 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
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. Submit a support request to add the fine-tuned model to the NIMs hosted on HPE Private Cloud AI.
- C. Store the fine-tuned weights in the local S3 object store.
- D. Use environment variables when they deploy the model to point to the NeMo entity store running on AI Essentials.
Correct Answer: D 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?
- A. Ray
- B. Airflow
- C. HPE Machine Learning Inference Software
- D. MLflow
Correct Answer: B 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
A customer with 30 rack-mount ProLiant servers wants to view aggregated health status and perform group power operations without deploying any management software.
What should you recommend?
- A. iLO Federation
- B. Agentless Management Service (AMS)
- C. HPE Compute Ops Management Enhanced
- D. HPE OneView Standard
Correct Answer: A 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
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