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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Topic 2: Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| Topic 3: Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| Topic 4: High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| Topic 5: HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| Topic 6: NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| Topic 7: Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Topic 8: HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - AI-optimized compute design - GPU integration and configuration |
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NEW QUESTION # 39
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: B
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 # 40
You are planning to demonstrate how you can use KServe to run NIMs on HPE Private Cloud AI.
You have downloaded the CodeLlama-70B-Instruct model to a volume in your namespace named demo-model. The objects that you are planning to deploy are shown below:
What change should you make to the objects?
Answer: C
Explanation:
The model is already downloaded to a PVC, so the InferenceService must reference that PVC with storageUri. KServe then mounts the model storage for the predictor; you do not change the model format or ServingRuntime. More precisely, this belongs under the predictor's model spec as storageUri.
NEW QUESTION # 41
A customer needs to deploy a NIM LLM with HPE Machine Learning Inference Software running on HPE Private Cloud AI (AI Essentials 1.6.1).
What is one option for the image for serving the model?
Answer: D
Explanation:
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Serving NIMs with HPE Machine Learning Inference Software"; HPE AI Essentials/MLIS registry documentation and release-history notes.
NEW QUESTION # 42
Which HPE ProLiant Gen11 storage technology allows administrators to non-disruptively expand a RAID array's capacity by adding drives without taking the array offline?
Answer: C
Explanation:
HPE Smart Array controllers support online capacity expansion, allowing drives to be added to an existing array and the array/logical volume to grow without downtime. Offline RAID migration would require downtime by definition, Secure Erase is for data sanitization, and cold data tiering relates to moving infrequently accessed data rather than array expansion.
NEW QUESTION # 43
A customer needs their HPE ProLiant server's boot drive protected against ransomware by detecting unauthorized changes to the drive's data and automatically triggering a recovery workflow. Which HPE technology should be proposed?
Answer: A
Explanation:
HPE's ransomware recovery capability (delivered via Smart Array/storage controllers and HPE- integrated data services) monitors drive I/O patterns for ransomware-like anomalies and can trigger automated snapshots/recovery. Smart Storage Administrator is a configuration tool, Trusted Supply Chain addresses supply-chain integrity, and runtime firmware verification protects firmware, not stored data.
NEW QUESTION # 44
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