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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| Topic 2: HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - GPU integration and configuration - AI-optimized compute design |
| Topic 3: High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Topic 4: AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Topic 5: Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| Topic 6: NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| Topic 7: Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Topic 8: Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
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35. Frage
HPE Private Cloud AI Users want to run interactive Spark applications from notebook servers running on HPE AI Essentials.
What should you do?
Antwort: C
Begründung:
B is correct. Livy provides a REST-based service for creating and managing interactive Apache Spark sessions. In HPE AI Essentials, notebook users who need interactive Spark execution rely on Livy so that notebook-side Spark magic or client commands can submit code to a managed Spark session without embedding a full Spark cluster process inside the notebook itself. Therefore the administrator should ensure Livy is installed and available through the platform's Tools & Frameworks administration.
Option A is unnecessary because the platform can provide the supported notebook-to-Spark integration once Livy is present; simply building a custom image does not establish the backend session service. Option C assumes that an image name creates Spark connectivity, which it does not. Option D confuses the Spark Operator, used for Kubernetes-managed SparkApplication resources, with the interactive session mechanism requested in the question.
The exam distinction is between batch and interactive Spark. Spark Operator is well suited to declarative Spark applications; Livy enables interactive sessions from notebooks.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 4 "Using Spark" and Kubeflow notebooks; HPE AI Essentials Software documentation for Livy and interactive Spark access.
36. Frage
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?
Antwort: A
Begründung:
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.
37. Frage
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?
Antwort: D
Begründung:
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.
38. Frage
Which benefit does HPE Rear Door Heat Exchanger (RDHX) provide?
Antwort: A
Begründung:
HPE RDHX attaches to the rear of the rack and uses a liquid-to-air heat exchanger to remove server exhaust heat efficiently, reducing the cooling burden and energy costs.
39. Frage
In an HPE Synergy environment, what is the role of the Synergy Composer?
Antwort: B
Begründung:
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).
40. Frage
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