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| Section | Objectives |
|---|---|
| Topic 1: Solution Design and Integration | - High availability and scalability design - Storage and networking integration considerations |
| Topic 2: HPE Compute Architecture Design | - Workload analysis and requirements mapping - Compute infrastructure planning and sizing |
| Topic 3: HPE Compute Solutions Portfolio | - HPE GreenLake compute offerings - HPE Synergy and composable infrastructure - HPE ProLiant server solutions |
| Topic 4: Operations and Troubleshooting | - Incident resolution and capacity planning - Monitoring and performance optimization |
| Topic 5: Security and Lifecycle Management | - Secure compute architecture principles - Firmware, patching, and lifecycle management |
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NEW QUESTION # 74
An automotive engineering team is running inference workloads for traffic simulation and computer vision models using KServe on HPE Private Cloud AI.
The team also uses GPU-enabled notebooks running on HPE Private Cloud AI to experiment with new models. They want to automatically adjust GPU usage for the different models based on current demand, as well as ensure that the notebooks never prevent the inferencing workloads from receiving the GPUs they need.
Which two features support this functionality? (Choose two.)
Answer: B,D
Explanation:
KServe autoscaling adjusts inference deployment capacity based on demand. HPE AI Essentials scheduler priorities ensure higher-priority inference workloads can get GPUs ahead of lower- priority notebook workloads.
Reference: https://kserve.github.io/website/docs/model-serving/predictive- inference/autoscaling/hpa-autoscaler
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie17hen_us&docLocale=en_US&pa ge=pcai%2FGenAI%2Fdeploying-knowledge-base.html
NEW QUESTION # 75
What is one important security consideration for AI workloads?
Answer: A
Explanation:
AI workloads can expose or memorize sensitive data, so removing or redacting PII from training/fine-tuning datasets is an important security and privacy control.
NEW QUESTION # 76
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?
Answer: C
Explanation:
iLO Federation uses multicast peer discovery to let any iLO in a group display aggregated health, license, and firmware information and perform group power and configuration actions, with no external management server required.
NEW QUESTION # 77
You are proposing 32 HPE Cray XD670 systems with HPE Performance Cluster Manager (HPCM) to a customer.
What is one benefit of HPCM that you should emphasize?
Answer: C
Explanation:
HPE Performance Cluster Manager provides bare-metal provisioning, image management, software updates, monitoring, and cluster health management for large HPC clusters. Scheduling is handled by tools such as Slurm, not HPCM.
Reference: https://www.hpe.com/us/en/collaterals/collateral.a00044858enw.html
NEW QUESTION # 78
A customer requires assurance that server firmware cannot be compromised by malicious code injected below the OS level.
Which HPE ProLiant feature addresses this requirement?
Answer: A
Explanation:
Silicon Root of Trust embeds an immutable fingerprint in the iLO silicon during manufacturing.
Every firmware component is cryptographically validated against that fingerprint before it is allowed to execute, and compromised firmware triggers automatic recovery. Secure Boot and TPM operate higher in the boot chain and depend on firmware already being trustworthy.
NEW QUESTION # 79
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