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| Section | Weight | Objectives |
|---|---|---|
| NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| HPE ProLiant Gen12 for AI | 20% | - GPU integration and configuration - Server architecture and components - AI-optimized compute design |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
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NEW QUESTION # 13
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?
Answer: C
Explanation:
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Serving NIMs with HPE Machine Learning Inference Software"; HPE AI Essentials/MLIS registry documentation and release-history notes.
NEW QUESTION # 14
A customer has HPE Cray XD systems, an HPE Slingshot network that includes HPE Slingshot Fabric Manager, HPE Performance Cluster Manager (HPCM), HPE Slingshot AIOps Software, and SchedMD Slurm. Which tool provides heatmaps and interactive topologies that help you find trouble spots in the network performance?
Answer: A
Explanation:
HPE Slingshot AIOps provides network utilization heatmaps, topology views, and congestion/bottleneck analysis to help identify network performance trouble spots. Slingshot Fabric Manager manages the fabric, while HPCM and Slurm manage the cluster and jobs.
NEW QUESTION # 15
Which HPE Gen11 server component is specifically responsible for enforcing that only cryptographically signed firmware images can be flashed to the system, rejecting unsigned or tampered images?
Answer: C
Explanation:
The firmware verification mechanism within HPE's Silicon Root of Trust design validates the digital signature of firmware before it is allowed to run or be flashed, rejecting compromised images. The Security Override Switch is a physical jumper for recovery scenarios, Server Configuration Lock prevents unauthorized hardware/BIOS changes, and Chassis Intrusion Detection reports physical case-open events.
NEW QUESTION # 16
An HPE Private Cloud AI customer has a model deployed with HPE Machine Learning Inference Software (MLIS). You have helped the customer further fine-tune that model. Now the customer would like to test the new model by directing 10% of traffic to it.
What should you do?
Answer: D
Explanation:
A is correct. HPE Machine Learning Inference Software supports canary rollout behavior for a deployment when a new model version is introduced. A canary allows the current production version and the candidate version to run concurrently while a defined percentage of inference traffic is directed to each. Setting the new version to 10% gives the customer a controlled production test while retaining 90% of traffic on the established version.
Option B invents a "Canal" routing service and unnecessarily creates a separate deployment. Option C confuses autoscaling with traffic splitting; autoscaling changes replica capacity, not the percentage of requests routed to different model versions. Option D also misstates the model: traffic distribution is part of the versioned canary rollout rather than an arbitrary routing rule between two independently configured model versions in the existing deployment.
The canary mechanism reduces change risk because model quality, latency, error rate, and resource consumption can be compared before full promotion. If the candidate is satisfactory, its traffic share can be increased; if not, the rollout can be stopped or rolled back.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Serving models with HPE Machine Learning Inference Software"; HPE AI Essentials MLIS documentation, "Initiate Canary Rollout."
NEW QUESTION # 17
A customer uses HPE Synergy servers as VMware ESXi hosts, assigned to clusters. What is one action that is enabled by your importing the ESXi clusters in HPE OneView for vCenter?
Answer: B
Explanation:
This matches VMware Proactive HA with HPE OneView for VMware vCenter. HPE describes this feature as preventing VM downtime by automatically migrating affected workloads before possible hardware degradation disrupts service. HPE's own OV4VC training outline also lists enabling VMware Proactive HA as a management function and separately lists cluster import/grow/shrink as provisioning functions.
NEW QUESTION # 18
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