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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Design HPE Compute Solutions | 25-30% | - Plan for scalability and future growth - Design HPE compute solutions based on workload requirements - Analyze customer requirements and translate them into compute solution requirements - Recommend appropriate HPE compute products and configurations |
| Topic 2: Manage and Troubleshoot HPE Compute Solutions | 30-35% | - Monitor system health, alerts, and performance metrics - Troubleshoot common hardware and software issues - Use HPE OneView for compute infrastructure management - Utilize HPE support tools and resources - Perform firmware updates and maintenance tasks |
| Topic 3: Security and Compliance | 5-10% | - Ensure compliance with industry standards - Implement security features in HPE compute solutions - Apply security best practices |
| Topic 4: Implement HPE Compute Solutions | 30-35% | - Install and configure HPE ProLiant servers - Set up Intelligent Provisioning and other deployment tools - Integrate compute solutions with storage and networking components - Deploy and configure HPE Synergy frames and composable resources - Configure firmware, drivers, and basic system settings |
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NEW QUESTION # 118
Drag and Drop Question
Match each HPE OneView network type with its definition.
Answer:
Explanation:
NEW QUESTION # 119
Refer to the exhibit.
Which statement about this logical interconnect group is true?
Answer: D
NEW QUESTION # 120
Which statement about the SY480 Gen10 Plus Compute Module is true?
Answer: C
Explanation:
The HPE Synergy 480 Gen10 Plus Compute Module supports 8 memory channels and can accommodate memory DIMMs of up to 256GB. This capability ensures high memory bandwidth and large memory capacity, which are essential for demanding workloads and applications.
NEW QUESTION # 121
You need to select GPUs for HPE ProLiant servers, which will be deployed in a customer's edge sites to run AI workloads. To win the deal, you need to select the most cost-effective GPUs that also provide the right performance for the use case.
The AI workloads include generative AI with Retrieval Augmented Generation (RAG).
Which GPU should you select?
Answer: A
Explanation:
NVIDIA L4 provides efficient inference performance with low power consumption and cost, making it well suited for edge deployments running generative AI with RAG, where full-scale training GPUs are not required.
NEW QUESTION # 122
What is one component in an HPE Private Cloud AI solution that an admin needs to update separately from the HPE Private Cloud AI software catalog?
Answer: A
Explanation:
HPE Private Cloud AI is designed as an integrated, full-stack solution, but it separates the lifecycle management of the " Compute/AI Stack " from the " Storage Stack. "
* The Software Catalog: HPE provides a curated, tested, and versioned Software Catalog specifically for the Private Cloud AI environment. This catalog typically includes the firmware (SPP) for the worker nodes, the NVIDIA GPU drivers, the Kubernetes orchestration layer, and the HPE AI Essentials software (Option B). By updating the catalog, the admin ensures all these components remain compatible and supported as a single unit.
* HPE GreenLake for File Storage (Option D): While this storage is a foundational component of the AI solution (providing the high-performance data lake), it is managed as a distinct service within the HPE GreenLake cloud platform. The software and firmware for the HPE Alletra Storage MP (which powers the file storage) follow their own release cycle and maintenance windows. Administrators must manage and trigger these updates through the HPE GreenLake for Storage portal, separate from the AI-specific software catalog orchestration.
* Control Plane and Workers: The Control Plane nodes (Option A) and the Operating System on the workers (Option C) are generally included in the automated lifecycle managed by the Private Cloud AI solution ' s management plane to ensure the " turnkey " nature of the private cloud remains intact.
Key Technical Takeaway:
In a " Solution " context (like Private Cloud AI), components that are shared services or independent platforms (like a massive scale-out storage array) are often managed via their own dedicated lifecycle tools, even if they are sold as part of a single SKU/bundle.
NEW QUESTION # 123
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