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| Section | Weight | Objectives |
|---|---|---|
| Integration with Data Center Infrastructure | 20% | - Security, compliance and data protection - Networking and storage integration - HPE OneView management and automation |
| 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 |
| Customer Success and Solution Optimization | 10% | - Troubleshooting and continuous improvement - Solution demonstration and value justification |
| Solution Design for Enterprise Workloads | 30% | - Design for AI, HPC and mission-critical workloads - Scalability, availability and performance optimization - Requirements analysis and environment assessment |
>> Latest HPE7-S01 Exam Question <<
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NEW QUESTION # 38
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?
Answer: C
Explanation:
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.
NEW QUESTION # 39
A financial services customer runs a market data application that is extremely sensitive to jitter and response time, not throughput.
Which UEFI workload profile should you recommend?
Answer: A
Explanation:
The Low Latency workload profile disables processor C-states and other power management features and tunes settings to minimize jitter and deterministic response time, at the cost of higher power consumption.
NEW QUESTION # 40
An HPE Private Cloud AI customer wants to archive Prometheus metrics collected on the solution.
What should you recommend?
Answer: D
Explanation:
HPE AI Essentials includes OpenTelemetry for forwarding metrics and logs to external monitoring systems, which is the appropriate approach for archiving Prometheus metrics outside the platform. Enlarging Prometheus storage or changing PV retention is not the recommended archival method.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie111dhen_us&docLocale=en_US& page=Observability%2Fotel.html
NEW QUESTION # 41
A customer runs latency-sensitive network functions in virtual machines and reports that the hypervisor virtual switch adds unacceptable overhead.
What should you recommend?
Answer: D
Explanation:
SR-IOV allows a physical adapter to present virtual functions that are passed directly to guest VMs, bypassing the hypervisor networking stack and reducing latency and CPU overhead. Note that SR-IOV can restrict features such as live migration in some configurations.
NEW QUESTION # 42
A VMware customer wants firmware and driver updates for ProLiant hosts to be orchestrated by vSphere Lifecycle Manager together with ESXi updates.
What must be deployed on the hosts?
Answer: B
Explanation:
vSphere Lifecycle Manager delegates firmware remediation to a registered hardware support manager. iSUT running on the ESXi hosts, together with the HPE hardware support manager provided by OneView or Compute Ops Management, enables coordinated firmware and driver remediation in a single workflow.
NEW QUESTION # 43
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