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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
| Topic 2: AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Topic 3: HPE ProLiant Gen12 for AI | 20% | - AI-optimized compute design - Server architecture and components - GPU integration and configuration |
| Topic 4: High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Topic 5: HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| Topic 6: Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| Topic 7: NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| Topic 8: Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
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NEW QUESTION # 10
At the request of an HPE Private Cloud AI customer, you have added an AWS S3 object store to HPE AI Essentials. Several AI Users should be able to access that source when running notebooks and Spark Applications. Other users should have no access. What should you do?
Answer: B
Explanation:
HPE AI Essentials manages user access to data sources through the Identity & Access Management page; for object stores, the admin grants privileges under the Object Store Data tab.
This allows only selected AI Users to access the S3 source.
NEW QUESTION # 11
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: C
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 # 12
Which HPE Smart Array controller feature allows administrators to configure RAID and volumes before the operating system is installed, using a UEFI-based utility?
Answer: A
Explanation:
HPE Smart Storage Administrator, accessible from the UEFI System Utilities (F9/F10 during boot), allows pre-OS RAID and logical drive configuration. The legacy ACU CLI is an offline/scripting tool, Insight Diagnostics is for hardware testing, and Virtual Media is used to mount ISO images remotely, not to configure storage.
NEW QUESTION # 13
A customer is concerned about counterfeit or tampered components entering their supply chain before servers reach their data center. Which HPE program directly addresses this concern?
Answer: C
Explanation:
HPE Trusted Supply Chain provides manufacturing and supply-chain security controls (including
U.S.-based secure manufacturing options and firmware provenance validation) to reduce the risk of tampering or counterfeit components before delivery. Pointnext Complete Care is a support/services offering, Factory Express provides factory-integration/configuration services (not specifically supply-chain security), and GreenLake for Private Cloud is a consumption/management platform.
NEW QUESTION # 14
A customer requires accessing the HPE AI Essentials KubeRay cluster interactively (with ray-init) from an external client. What should you explain?
Answer: A
Explanation:
External interactive Ray access is not enabled by default; exposing kuberay-head-svc as a NodePort is the right approach. HPE's Ray documentation specifically references changing kuberay-head-svc to NodePort.
NEW QUESTION # 15
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