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| Section | Weight | Objectives |
|---|---|---|
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| HPE ProLiant Gen12 for AI | 20% | - AI-optimized compute design - Server architecture and components - GPU integration and configuration |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
| Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
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NEW QUESTION # 38
In an HPE Synergy environment, what is the role of the Synergy Composer?
Answer: A
Explanation:
Synergy Composer is the embedded management appliance running HPE OneView that provides the software-defined control plane for composing and managing Synergy resources into logical servers, storage volumes, and fabric connectivity. It is not a physical cooling component, a licensing key, or a switch module (that role belongs to Virtual Connect/Synergy interconnect modules).
NEW QUESTION # 39
Which of the following best describes the function of HPE Active Health System (AHS) on ProLiant Gen11 servers?
Answer: B
Explanation:
Active Health System continuously logs system health, configuration, and diagnostic data (viewable via AHS Viewer or shared with HPE support) to help diagnose problems and support proactive/predictive maintenance. It does not perform RAID rebuilds, does not auto-apply firmware without approval, and is unrelated to iLO licensing.
NEW QUESTION # 40
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: C
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 # 41
An HPE Private Cloud AI User wants to use KServe to run a NIM that is available in NGC.
What is one prerequisite?
Answer: D
Explanation:
D is correct. A NIM image hosted in NVIDIA NGC is protected by NVIDIA registry authentication. To allow KServe in a user namespace to pull that image, the user needs a valid NGC API key and a Kubernetes secret containing the corresponding registry credentials in the namespace where the InferenceService will run. The workload can then reference that secret for the image pull or other required NGC access.
Option A describes registering NGC with HPE Machine Learning Inference Software. That is relevant when MLIS is the serving mechanism, but the scenario explicitly uses KServe. Option B is not how NVIDIA AI Enterprise is made available to HPE AI Essentials; it is not imported as a user Helm chart. Option C is also invalid because KServe does not require special "decorators" in application code to launch a NIM.
Namespace placement matters because Kubernetes secrets are namespace-scoped. A secret created elsewhere is not automatically available to the user's KServe deployment.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Other options for serving models on HPE Private Cloud AI" and NVIDIA AI Enterprise; HPE AI Essentials KServe guidance; NVIDIA NGC authentication documentation.
NEW QUESTION # 42
What is one benefit of HPE Slingshot for HPC workloads?
Answer: A
Explanation:
B is correct. HPE Slingshot uses fine-grained adaptive routing to make efficient use of available fabric paths.
For traffic that can tolerate reordering, the network can make routing decisions at packet granularity, steering packets away from congested links and distributing high-bandwidth MPI or storage traffic across the fabric.
This is particularly useful in HPC environments where compute collectives and Lustre I/O can create dynamic hotspots that are difficult to predict with static routing.
Option A is false because Slingshot is an Ethernet-based HPC interconnect, not InfiniBand NDR. Option C incorrectly characterizes its congestion management as primarily DiffServ-based; Slingshot uses specialized congestion-control and telemetry mechanisms designed for HPC traffic behavior. Option D overstates a topology requirement. HPC applications do not require every fabric to be constructed as a mathematically non- blocking network, and Slingshot's value includes maintaining performance through adaptive routing and congestion management even under variable traffic.
The design goal is sustained application throughput, not merely peak link speed. Efficient path use keeps compute nodes from idling behind network congestion.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 10 "HPE HPC networking solutions"; HPE Slingshot QuickSpecs and adaptive-routing documentation.
NEW QUESTION # 43
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