HPE2-B08최신기출자료 & HPE2-B08자격증문제

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HP HPE2-B08 Exam Syllabus Topics:

Section	Weight	Objectives
Installing and Configuring HPE Private Cloud AI Solutions	30%	- Describe how to validate the HPE Private Cloud AI installation - Identify how to access and use HPE Private Cloud AI management interfaces - Identify the steps to configure the HPE Private Cloud AI environment - Describe the prerequisites for installing HPE Private Cloud AI - Explain how to deploy and configure HPE Private Cloud AI components
Managing and Operating HPE Private Cloud AI Solutions	30%	- Describe how to manage users and access control - Explain how to monitor HPE Private Cloud AI performance and health - Describe the tools and methods for managing HPE Private Cloud AI - Identify how to manage storage and data resources - Identify troubleshooting procedures and common issues - Explain backup and recovery procedures
Supporting HPE Private Cloud AI Solutions	20%	- Describe support resources and documentation - Describe capacity planning and optimization best practices - Explain how to work with HPE support services - Identify how to perform firmware and software updates
Architecting HPE Private Cloud AI Solutions	20%	- Explain common AI use cases and how they map to workloads - Explain the HPE Private Cloud AI sizing and configuration guidelines - Describe how HPE Private Cloud AI supports AI/ML workloads - Describe the AI/ML lifecycle and data pipeline requirements - Identify components of the HPE Private Cloud AI architecture

>> HPE2-B08최신 기출자료 <<

HPE2-B08자격증문제 - HPE2-B08최고품질 예상문제모음

만약 시험만 응시하고 싶으시다면 우리의 최신HP HPE2-B08자료로 시험 패스하실 수 있습니다. DumpTOP 의 학습가이드에는HP HPE2-B08인증시험의 예상문제, 시험문제와 답 임으로 100% 시험을 패스할 수 있습니다.우리의HP HPE2-B08시험자료로 충분한 시험준비하시는것이 좋을것 같습니다. 그리고 우리는 일년무료 업데이트를 제공합니다.

최신 Hybrid Cloud HPE2-B08 무료샘플문제 (Q65-Q70):

질문 # 65
What is the primary architectural advantage of the NVIDIA Grace Hopper Superchip (e.g., GH200) for large-scale AI workloads?

A. It combines a CPU and a GPU on a single superchip, connected by a high-speed, low-latency NVLink-C2C interconnect.
B. It is the first NVIDIA GPU to feature fourth-generation Tensor Cores for enhanced matrix calculations.
C. It uses on-chip encryption to create a confidential computing environment for the CPU.
D. It replaces the need for server memory (DRAM) by using the GPU's global memory exclusively.

정답：A

질문 # 66
A data analytics team is running workloads on an HPE Private Cloud AI solution. They observe that a data ingestion job is not meeting performance expectations, suspecting a CPU bottleneck. They believe the application is not correctly leveraging GPUDirect Storage (GDS), forcing data to be copied through the server's main memory before reaching the GPU.
Which are valid reasons why GDS might not be functioning correctly? (Choose 3.)

A. The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
B. The NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
C. The NVIDIA peer memory driver has not been installed on the guest VM.
D. The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.
E. The network switches are not configured for lossless operation (e.g., PFC is disabled).

정답：A,C,E

질문 # 67
What is the primary advantage of using a Smart Template in OCA for HPE Private Cloud AI versus manually configuring a similar set of hardware?

A. The Smart Template ensures all necessary and validated components, including specific cables, power cords, and software SKUs, are included correctly.
B. The Smart Template allows the use of components from other vendors.
C. The Smart Template provides a 90-day free trial of the entire solution.
D. The Smart Template guarantees the lowest possible price for the hardware.

정답：A

질문 # 68
A customer is planning to deploy an HPE Private Cloud AI solution. Their IT department has provided a worksheet detailing the workload requirements. The solution architect needs to select the appropriate configuration size.
Review the customer's requirements:
```
- Primary Workload: Fine-tuning a 70-billion parameter foundation model
- Secondary Workload: AI Inferencing with RAG
- User Base: 50 developers during tuning; 300 concurrent users for inference
- Data Sensitivity: High (must remain on-premises)
- Power/Cooling: Standard data center air cooling available
```
Which HPE Private Cloud AI configuration is required to meet these demands, and what is the key component that justifies this choice? (Choose 2.)

A. The key component is the NVIDIA H100 NVL GPU, designed for large-scale training and fine-tuning.
B. The key component is the NVIDIA L40S GPU, which is optimized for RAG workloads.
C. The solution requires a Large configuration.
D. The solution requires a Medium configuration.
E. The key component is the HPE ProLiant DL325 server in the management plane.

정답：A,C

질문 # 69
An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

A. NVIDIA L40S GPUs
B. HPE Aruba Networking CX 6300M switches
C. NVIDIA SN4700M switches supporting 200GbE RoCE
D. NVIDIA H100 NVL GPUs
E. NVIDIA NVLink Bridge

정답：C,D,E

질문 # 70
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