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| Section | Objectives |
|---|
| HPC and High-Performance Infrastructure | - HPC Networking
- 1. HPE Slingshot Interconnect
- 2. Slingshot Fabric Manager
- 3. Low-Latency Network Design
- HPC Storage and Management
- 1. HPE Cray Storage C500
- 2. HPE Performance Cluster Manager
- 3. Large-Scale Provisioning
|
| Compute and Virtualization Solutions | - HPE Compute Platforms
- 1. HPE OneView Integration
- 2. HPE Cray Systems
- 3. HPE ProLiant Servers
- VMware and vSphere Integration
- 1. Container Storage Interface (CSI)
- 2. vSphere Deployment
- 3. vSAN Design and Policies
|
| Operations, Security, and Troubleshooting | - Monitoring and Management
- 1. HPE AI Essentials
- 2. Resource Monitoring
- 3. OpsRamp
- Identity and Access Management
- 1. Platform Identities
- 2. Keycloak
- 3. Single Sign-On
- Performance Optimization and Troubleshooting
- 1. AI Workload Troubleshooting
- 2. vSphere Performance Analysis
- 3. Compute Performance Optimization
|
| Kubernetes and MLOps Platforms | - Kubernetes Infrastructure
- 1. Namespace and Resource Management
- 2. Persistent Storage
- 3. Cluster Deployment
- AI and MLOps Services
- 1. JupyterLab Workspaces
- 2. Kubeflow
- 3. Spark Operator
- 4. Ray (KubeRay)
- 5. MLflow
|
| Design and Implement HPE Private Cloud AI Solutions | - AI Infrastructure Integration
- 1. AI Workload Requirements
- 2. NVIDIA GPU Integration
- 3. AI Enterprise Software Stack
- HPE Private Cloud AI Architecture
- 1. Networking Components
- 2. Storage Components
- 3. Reference Architectures
- 4. Compute Components
|
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HP Advanced HPE Compute Integrator Solutions Written Exam Sample Questions (Q63-Q68):
NEW QUESTION # 63
A customer is running SUSE Rancher on HPE ProLiant DL servers and HPE Alletra arrays. How should you install the HPE CSI Driver for Kubernetes?
- A. Install an HPE Data Ops Manager plug-in for SUSE Rancher. Use the plug-in to deploy the CSI driver.
- B. Use the SUSE Rancher Operators catalog to find the HPE driver. Install the driver from there.
- C. Obtain the latest Ansible playbook for the driver from the HPE GitHub site. Run the playbook.
- D. Download the latest Helm chart provided by HPE for the driver. Install that chart.
Answer: B
Explanation:
For SUSE Rancher, the HPE CSI Driver is delivered as a Rancher partner app/chart in the official Partner repository and is installed through Rancher Apps/Charts rather than by manually downloading Helm charts or using Ansible.
NEW QUESTION # 64
You are proposing HPE Private Cloud AI to a financial institution and want to demo the solution running a complex AI-enabled security application. What can help you to accelerate the development of the demo?
- A. Looking for an appropriate NVIDIA blueprint in the NGC catalog
- B. Finding sample Kubeflow pipelines in the HPE AI Essentials shared volume
- C. Searching for tutorials in the HPE AI Essentials documentation
- D. Using tools within NVIDIA AI Enterprise Base Command Manager
Answer: A
Explanation:
NVIDIA Blueprints provide sample/reference AI applications that accelerate development of complex demos and enterprise AI workflows; they are available through NVIDIA AI Enterprise/NGC resources.
NEW QUESTION # 65
Which licensing model determines the features available on an HPE iLO 6 management processor (e.g., graphical remote console, scripting, video capture)?
- A. HPE iLO License Tiers (Standard, Advanced, etc.)
- B. VMware vSphere License
- C. HPE GreenLake for Compute Ops Management License
- D. HPE OneView Advanced License
Answer: A
Explanation:
Explanation: iLO functionality (remote console, virtual media, scripting via RESTful API, video capture, etc.) is gated by iLO license tier -- the base iLO functions are free, while advanced features require an iLO Advanced or higher license. OneView and Compute Ops Management licenses govern fleet management capabilities, not iLO's own feature set, and vSphere licensing is unrelated to iLO.
NEW QUESTION # 66
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?
- A. NeMo Curator
- B. NeMo Customizer
- C. MLflow
- D. Katib
Answer: A
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 # 67
A customer requires accessing the HPE AI Essentials KubeRay cluster interactively (with ray-init) from an external client. What should you explain?
- A. External access is not supported with the built-in KubeRay cluster. The customer should deploy a new cluster to achieve this access.
- B. External access is enabled by default at the Ray dashboard UI. The external client should direct the ray-int requests to TCP port 8265.
- C. External access is not available by default, but can be achieved by, for example, changing the kuberay-head-svc to a Node Port service.
- D. External access is enabled by default at the Ray dashboard UI. The external client should direct the ray-int requests to TCP port 10001.
Answer: C
Explanation:
External interactive Ray access is not enabled by default; exposing kuberay-head-svc as a NodePort is the right approach. HPE's Ray documentation specifically references changing kuberay-head-svc to NodePort.
NEW QUESTION # 68
......
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