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| Section | Weight | Objectives |
|---|---|---|
| HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - GPU integration and configuration - AI-optimized compute design |
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| 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 |
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NEW QUESTION # 34
When designing high availability for an HPE OneView managed environment, what is the purpose of deploying OneView in a multi-appliance (HA) configuration?
Answer: B
Explanation:
HPE OneView HA (clustered appliances) protects the management plane itself, ensuring continued management, monitoring, and orchestration capability if one appliance instance becomes unavailable. It does not affect VLAN counts, compute capacity, or replace Synergy Composer, which is the management appliance specific to Synergy frames.
NEW QUESTION # 35
An integrator is proposing a two-node HPE SimpliVity hyperconverged solution for a remote office. Which of the following is a core benefit of HPE SimpliVity's architecture that should be highlighted?
Answer: A
Explanation:
HPE SimpliVity performs global inline deduplication and compression at the source (via the OmniStack accelerator) and includes native, VM-centric backup, restore, and DR capabilities without a separate backup appliance. It integrates directly with VMware vCenter for management (Hyper-V support is more limited/legacy), so C and D are incorrect, and A contradicts its built-in data protection design.
NEW QUESTION # 36
A hospital wants to fine-tune an LLM on their own dataset. However, the data needs to have sensitive information redacted.
Duplicate records also need to be cleaned up.
What can the customer use to achieve this goal?
Answer: D
Explanation:
D is correct. NVIDIA NeMo Curator is the data-curation component intended to prepare large datasets for generative-AI training and fine-tuning. Its pipeline capabilities include filtering, quality processing, deduplication, and privacy-oriented data preparation. That directly matches both requirements in the scenario:
duplicate records must be removed and sensitive information must be redacted before the hospital's dataset is used to adapt the LLM. Performing these controls before fine-tuning reduces data leakage risk and prevents repeated records from biasing training.
The distractors address different stages of the AI lifecycle. MLflow is principally used for experiment tracking, model lifecycle management, and related MLOps functions; it is not the primary tool for cleansing the raw training corpus. NeMo Customizer performs model customization or fine-tuning after an appropriate dataset has been prepared. Katib is a Kubernetes-native hyperparameter-optimization component and does not provide the required privacy redaction and deduplication workflow.
The sequencing matters: curate the data first, then customize and evaluate the model. That separation is part of the software-stack knowledge expected for HPE Private Cloud AI with NVIDIA.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Using NVIDIA AI Enterprise and Serving Models," NeMo deep dive; NVIDIA NeMo Curator documentation.
NEW QUESTION # 37
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 # 38
An integrator needs to remotely mount an ISO image to install an operating system on a headless HPE ProLiant server located in a remote data center. Which iLO feature enables this?
Answer: C
Explanation:
iLO Virtual Media allows an administrator to mount a remote ISO or image file over the network as if it were a locally attached optical/USB drive, enabling remote OS installation on headless servers. Federation groups multiple iLOs for unified search/management, Directory Services integrates iLO authentication with LDAP/AD, and Insight Remote Support integration relates to automated support-case creation.
NEW QUESTION # 39
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