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| Section | Objectives |
|---|---|
| Solution Design and Integration | - High availability and scalability design - Storage and networking integration considerations |
| HPE Compute Solutions Portfolio | - HPE ProLiant server solutions - HPE Synergy and composable infrastructure - HPE GreenLake compute offerings |
| HPE Compute Architecture Design | - Compute infrastructure planning and sizing - Workload analysis and requirements mapping |
| 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 |
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NEW QUESTION # 23
How does NVIDIA Spectrum-X address congestion?
Answer: C
Explanation:
NVIDIA Spectrum-X uses telemetry/control information with flow metering so senders can adjust traffic at the source before congestion causes packet loss. ECMP, PFC, and ECN alone do not describe Spectrum-X's differentiated congestion-control mechanism.
Reference: https://developer.nvidia.com/blog/optimize-large-scale-ai-workloads-with-nvidia- spectrum-x/
NEW QUESTION # 24
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: D
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 # 25
A customer requires an HPE Cray Storage Systems C500 solution with an SMU and a fully populated C500 CSU using 6.4TB drives. The customer needs to add at least 64TB of raw flash capacity.
What should you recommend?
Answer: B
Explanation:
The customer already has the required SMU. To add flash capacity, use an SSU-F, not a 5U84 HDD enclosure. A half-populated SSU-F with 12 × 6.4 TB SSDs provides 76.8 TB raw, meeting the 64 TB requirement.
NEW QUESTION # 26
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?
Answer: B
Explanation:
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&
NEW QUESTION # 27
Company TXXX is working on autonomous vehicle simulation and needs a system optimized for high-throughput training of generative AI models. The customer already uses HPE iLO to manage other servers and would like to continue with that option.
Which HPE server model aligns with these goals?
Answer: C
Explanation:
The HPE ProLiant Compute XD685 is optimized for high-throughput AI/model training workloads and uses HPE iLO management, matching the customer's need to continue managing systems through iLO.
NEW QUESTION # 28
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