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| Section | Objectives |
|---|---|
| Topic 1: Design and Implement HPE Private Cloud AI Solutions | - HPE Private Cloud AI Architecture
|
| Topic 2: Compute and Virtualization Solutions | - HPE Compute Platforms
|
| Topic 3: Kubernetes and MLOps Platforms | - AI and MLOps Services
|
| Topic 4: Operations, Security, and Troubleshooting | - Monitoring and Management
|
| Topic 5: HPC and High-Performance Infrastructure | - HPC Storage and Management
|
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NEW QUESTION # 27
You have imported a VMware vSphere ESXi cluster into HPE OneView for vCenter (0V4VC). You now want to grow the cluster, adding an HPE ProLiant DL server as a host. What is one requirement?
Answer: B
Explanation:
For OV4VC cluster growth/deployment, NIC0 in the server profile must be connected to a network that can reach the HPE OneView for VMware vCenter provisioning/deployment server.
NEW QUESTION # 28
You are helping a customer troubleshooting performance issues on an HPE ProLiant DL server acting as a VMware ESXi host.
You have used the esxtop command, and the output is shown below. (In this output, the details for many VMs have been omitted; however, other VMs have similar stats to the ones that are shown.)
Based on this output, what should you explain?
Answer: C
Explanation:
The ESXi memory state is hard, with very little free memory, active ballooning, and swapping.
This indicates host memory pressure, so the fix is to add memory or reduce VM load on the host.
NEW QUESTION # 29
You are proposing HPE Private Cloud AI to a financial institution and want to demo the solution running a complex AI-enabled security application.
What can help you to accelerate the development of the demo?
Answer: D
Explanation:
B is correct. NVIDIA AI Blueprints are packaged reference workflows that combine models, NIM microservices, retrieval components, guardrails, and application logic for specific generative-AI use cases.
Selecting a suitable blueprint from the NVIDIA catalog can shorten a proof-of-concept cycle because the team starts from a validated architecture and deployable workflow instead of assembling every component from scratch. That is particularly useful when demonstrating a complex security-oriented AI application to a regulated customer.
Sample Kubeflow pipelines can accelerate individual machine-learning workflow steps, but they do not provide the same end-to-end application blueprint. NVIDIA Base Command Manager is an infrastructure and cluster-management product; it is not the development accelerator being asked for. HPE AI Essentials tutorials are useful instructional resources, but a blueprint is explicitly intended to speed implementation of a working use case.
Current Rev. 26.21 training has a dedicated module on using NVIDIA Blueprints and updates the recommended installation process for validated blueprints, reinforcing their role in demonstrations and PoCs.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 6 "Using an NVIDIA Blueprint to demo an AI Chatbot"; NVIDIA AI Blueprints catalog and deployment documentation.
NEW QUESTION # 30
What is one way that HPE minimizes costs for the HPE Private Cloud AI Developer System?
Answer: C
Explanation:
A is correct. The HPE Private Cloud AI Developer System is positioned as a smaller, cost-conscious configuration for development and proof-of-concept work. Integrating file and object storage into the AI- optimized node reduces the need to purchase, cable, power, and administer a separate external storage tier for the entry configuration. That consolidation lowers infrastructure cost while preserving the data-access patterns required by notebooks, model assets, and AI development workflows.
The remaining choices contradict the design intent of HPE Private Cloud AI. An AI-optimized node is not made cost-effective by eliminating GPU acceleration and using CPU-only compute; doing so would undermine the target AI workload. HPE also does not reduce value by stripping out the integrated software toolchain. The platform's advantage is precisely the curated, validated software environment. NVIDIA AI Enterprise support is likewise a core differentiator of HPE Private Cloud AI with NVIDIA rather than an optional capability removed to save money.
For exam purposes, distinguish architectural consolidation from functional reduction. HPE minimizes entry- system cost by integrating necessary infrastructure components, not by removing the accelerated-compute or enterprise-AI capabilities that define the solution.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 1 "HPE ProLiant Gen12 for AI" and HPE solutions for AI; HPE Private Cloud AI engineered-system and Developer System materials.
NEW QUESTION # 31
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: B
Explanation:
A is correct. HPE Slingshot AIOps Software is the analytics and visualization layer designed to expose network performance behavior across a Slingshot fabric. It provides topology-oriented views and telemetry heatmaps that allow an administrator to identify regions with abnormal bandwidth use, congestion, or other performance hot spots. Those visualizations are particularly useful when correlating network behavior with application or job activity.
HPE Slingshot Fabric Manager has a different primary role: fabric configuration, management, discovery, and operational control. SchedMD Slurm schedules jobs and allocates compute resources; although job information can be correlated with infrastructure telemetry, Slurm does not provide the Slingshot network heatmap interface described. HPE Performance Cluster Manager manages cluster provisioning and lifecycle operations rather than serving as the specialized Slingshot performance-analytics application.
The tools are complementary. Fabric Manager controls the network, HPCM manages the cluster, Slurm manages workload scheduling, and Slingshot AIOps helps diagnose how traffic is behaving on the fabric.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Modules 9 and 10, HPE Cray management and HPC networking; HPE Slingshot AIOps Software User Guide, system-wide and telemetry heatmap views.
NEW QUESTION # 32
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