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| Section | Objectives |
|---|---|
| Topic 1: HPE Compute Architecture and Solutions | - HPE ProLiant server families overview - Compute solution positioning and use cases |
| Topic 2: Storage and Networking Integration | - SAN and direct-attached storage integration - Networking configuration and connectivity options |
| Topic 3: Solution Design and Implementation | - Workload sizing and architecture planning - High availability and redundancy design |
| Topic 4: Server Deployment and Configuration | - Firmware and system configuration tools (iLO, SPP) - Initial setup and provisioning |
| Topic 5: Troubleshooting and Support | - Performance monitoring and diagnostics - Hardware and firmware troubleshooting |
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HP HPE7-S02인증시험은 현재IT인사들 중 아주 인기 잇는 인증시험입니다.HP HPE7-S02시험패스는 여러분의 하시는 일과 생활에서 많은 도움을 줄뿐만 아니라 중요한 건 여러분의IT업계에서의 자기만의 자리를 지키실 수 잇습니다.이렇게 좋은 시험이니 많은 분들이 응시하려고 합니다,하지만 패스 율은 아주 낮습니다.
질문 # 29
You are demonstrating HPE AI Essentials to a customer. You want to show running a DAG (workflow). Which framework or page should you access?
정답：B
설명：
In HPE AI Essentials, Airflow is the framework used to create, view, and run DAG-based workflows. MLflow tracks experiments, and Ray is for distributed compute/tuning.
질문 # 30
A customer needs to deploy a NIM LLM with HPE Machine Learning Inference Software running on HPE Private Cloud AI (AI Essentials 1.6.1). What is one option for the image for serving the model?
정답：A
설명：
For AI Essentials 1.6.1, NIM LLM serving images are handled as prepackaged/curated images in the HPE Private Cloud AI registry. Direct dynamic NGC delivery is associated with later AI Essentials releases, not 1.6.1.
질문 # 31
Which correctly describes an aspect of the AI software stack for HPE Cray XD systems?
정답：A
설명：
HPE Cray XD systems use standard server management based on Redfish and run a Linux- based HPC/AI software stack. HPE Performance Cluster Manager is for cluster provisioning/management, not the AI development environment.
질문 # 32
You are helping a customer troubleshooting performance issues on an HPE ProLiant DL server acting as a VMware ESXi host.
You have used the esxtop command, and the output is shown below. (In this output, the details for many VMs have been omitted; however, other VMs have similar stats to the ones that are shown.)
Based on this output, what should you explain?
정답：B
설명：
The ESXi memory state is hard, with very little free memory, active ballooning, and swapping.
This indicates host memory pressure, so the fix is to add memory or reduce VM load on the host.
질문 # 33
You are planning to demonstrate how you can use KServe to run NIMs on HPE Private Cloud AI.
You have downloaded the CodeLlama-70B-Instruct model to a volume in your namespace named demo-model. The objects that you are planning to deploy are shown below:
What change should you make to the objects?
정답：A
설명：
The model is already downloaded to a PVC, so the InferenceService must reference that PVC with storageUri. KServe then mounts the model storage for the predictor; you do not change the model format or ServingRuntime. More precisely, this belongs under the predictor's model spec as storageUri.
질문 # 34
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