높은적중율을자랑하는HPE7-S01최신인증시험자료덤프자료

ExamPassdump에서 HP인증 HPE7-S01덤프를 구입하시면 퍼펙트한 구매후 서비스를 제공해드립니다. HP인증 HPE7-S01덤프가 업데이트되면 업데이트된 최신버전을 무료로 서비스로 드립니다. 시험에서 불합격성적표를 받으시면 덤프구매시 지불한 덤프비용은 환불해드립니다.
HP HPE7-S01 Exam Syllabus Topics:
| Section | Objectives |
|---|
| HPE Compute Architecture Design | - Compute infrastructure planning and sizing - Workload analysis and requirements mapping
|
| Solution Design and Integration | - Storage and networking integration considerations - High availability and scalability design
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| HPE Compute Solutions Portfolio | - HPE Synergy and composable infrastructure - HPE GreenLake compute offerings - HPE ProLiant server solutions
|
| Security and Lifecycle Management | - Firmware, patching, and lifecycle management - Secure compute architecture principles
|
| Operations and Troubleshooting | - Monitoring and performance optimization - Incident resolution and capacity planning
|
>> HPE7-S01최신 인증시험자료 <<
시험대비 HPE7-S01최신 인증시험자료 최신버전 덤프
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최신 HPE Technical HPE7-S01 무료샘플문제 (Q20-Q25):
질문 # 20
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. Use environment variables when they deploy the model to point to the NeMo entity store running on AI Essentials.
- B. Set up a custom OpenLLM registry in which they add the fine-tuned weights.
- 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.
정답:A
설명:
LoRA fine-tuning creates adapter weights, not a new NIM image. NVIDIA NIM supports serving LoRA adapters by setting environment variables such as NIM_PEFT_SOURCE to the NeMo Entity Store/Data Store, allowing the NIM to pull the fine-tuned adapters for inference.
질문 # 21
Which statement correctly describes hardware security capabilities for HPE Cray XD systems?
- A. BMC software integrates with an iLO ASIC to provide hardware root of trust capabilities.
- B. The HPE Cray XD systems use the same iLO ASIC and firmware as the HPE ProLiant DL line.
- C. The HPE Cray XD systems include a sidecar node dedicated to security functions, such as monitoring firmware and OS for compromise.
- D. A BMC ASIC enables secure boot any root of trust capabilities similar to those in HPE iLO.
정답:D
설명:
HPE Cray XD systems use an HPE Cray XD BMC that provides hardware root of trust, recovery, chain of trust, and secure boot capabilities. They do not use the same iLO ASIC/firmware as HPE ProLiant DL servers.
Reference: https://www.hpe.com/us/en/collaterals/collateral.a50004301enw.html
질문 # 22
You are proposing HPE Cray Storage Systems C500 for a customer's converged HPC/AI training cluster.
What is one correct explanation of the benefits of this solution for this use case?
- A. This solution provides strong read and write performance based on Lustre parallel storage.
- B. This solution provides clustering for NAS to eliminate bottlenecks and improve I/O.
- C. This solution uses S3-compatible object storage, backed by disaggregated block storage, to combine scalability with flexibility.
- D. This solution features an HPE proprietary parallel storage protocol that is optimized for the random read workloads characteristic of HPC/AI.
정답:A
설명:
HPE Cray Storage Systems C500 is designed for entry and mid-range HPC/AI clusters and uses an open-source parallel file system architecture, with strong read/write performance for HPC and AI workloads.
Reference: https://www.hpe.com/us/en/collaterals/collateral.a50007029enw.html
질문 # 23
Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?
- A. MLflow
- B. HPE Machine Learning Inference Software
- C. Airflow
- D. Ray
정답:C
설명:
Airflow is used to orchestrate and automate data pipelines as DAGs, including workflows that run a series of Spark Applications. MLIS is for inference, Ray is for distributed compute, and MLflow is for experiment/model tracking.
질문 # 24
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 set up a storageclass that references HPE GreenLake for File Storage in advance to ensure that the deployment proceeds correctly.
- 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 develop an API that understands the application's queries and incorporates those in the NIM as a custom image.
정답:B
설명:
HPE AI Essentials inference endpoints use access tokens for remote/client access, so the web application must pass the deployment's API token in the request headers when querying the NIM endpoint.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie18hen_us&docLocale=en_US&pa ge=pcai%2FGenAI%2Finfer-model-endpoint.html&
질문 # 25
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