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| Section | Weight | Objectives |
|---|---|---|
| NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| 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 |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
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NEW QUESTION # 34
In an HPE Synergy environment, what is the role of the Synergy Composer?
Answer: B
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 # 35
An organization running a mixed fleet of HPE ProLiant, Synergy, and Alletra storage systems wants predictive analytics and AI-driven recommendations to prevent infrastructure issues before they occur. Which HPE offering should be proposed?
Answer: B
Explanation:
HPE InfoSight provides AI-driven predictive analytics across compute and storage (extended from Nimble/Alletra into ProLiant and other infrastructure) to identify and often auto-resolve problems before they impact operations. OneView Global Dashboard aggregates OneView instances, Insight Remote Support automates support-case creation, and iLO Amplifier Pack is a firmware/health scanning tool for large ProLiant fleets.
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
An HPE Private Cloud AI customer wants to prevent Airflow from consuming too many resources on the cluster. What is one approach you can take to fulfill this request?
Answer: B
Explanation:
Airflow pools limit how many tasks can run concurrently. Reducing the default_pool slots limits the number of task/executor pods Airflow can launch at once, preventing it from consuming excessive cluster resources. HPE documents this under Airflow > Admin > Pools.
NEW QUESTION # 38
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: C
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 # 39
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