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HP HPE2-B08 Exam Syllabus Topics:

Section	Weight	Objectives
Fundamental AI Concepts	28%	- Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads
Customer Assessment and Solution Positioning	15%	- Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions
Software Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations
Solution Sizing and Configuration	17%	- Building configurations via One Config Advanced (OCA) - Differences between configuration sizes and options - Using HPE Intelligent Configurator for sizing
Infrastructure Components of HPE Private Cloud AI with NVIDIA	20%	- Infrastructure capabilities for AI workload requirements - Benefits of HPE and NVIDIA integrated infrastructure

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HPE Private Cloud AI Solutions Sample Questions (Q62-Q67):

NEW QUESTION # 62
An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

A. A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
B. A subscription to the NVIDIA NGC catalog for downloading AI models.
C. A rack elevation diagram for the data center.
D. A list of all end-users who will access the system.

Answer: A

NEW QUESTION # 63
An enterprise wants to build an internal AI platform that functions like an "App Store." Their goal is to provide various internal development teams with a catalog of curated AI models that they can easily deploy and integrate into their applications without needing deep AI expertise. The platform must be secure, reliable, and scalable.
Which software components within the HPE Private Cloud AI stack are essential to building this platform? (Select all that apply.)

A. NVIDIAAI Enterprise for enterprise-grade support and security
B. A collection of pre-trained community and custom-built AI models
C. NVIDIA NIM (NVIDIA Inference Microservices)
D. HPE AI Essentials for a unified data science and MLOps plane
E. The HPE Intelligent Configurator

Answer: A,B,C,D

NEW QUESTION # 64
An architect is designing an AI solution for a financial services company that needs to build a chatbot.
The chatbot must answer customer queries using the company's latest internal policy documents, which are updated daily. The company has a limited budget and no data scientists available for a lengthy model retraining project.
Which approach should the architect recommend?

A. Use a pre-trained computer vision model to extract text from the policy documents.
B. Use a pre-trained model and implement a Retrieval-Augmented Generation (RAG) framework.
C. Fine-tune a pre-trained model daily by retraining it on the entire set of policy documents.
D. Train a new LLM from scratch using only the company's policy documents to ensure data privacy.

Answer: B

NEW QUESTION # 65
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 NVIDIA peer memory driver has not been installed on the guest VM.
B. The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
C. The NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
D. The network switches are not configured for lossless operation (e.g., PFC is disabled).
E. The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.

Answer: A,B,D

NEW QUESTION # 66
An architect has generated a configuration for HPE Private Cloud AI in OCA. The customer wants to know if they can use their existing data center network switches for the high-performance AI interconnect instead of the NVIDIA Spectrum switches included in the BOM.
What is the correct response?

A. No, the NVIDIA Spectrum switches are part of the pre-validated, turnkey solution and are required for performance and support.
B. Yes, as long as the existing switches are also from NVIDIA, they are compatible.
C. No, because the HPE Private Cloud AI solution is air-gapped and cannot connect to external switches.
D. Yes, any 200GbE switch can be substituted to lower the cost.

Answer: A

NEW QUESTION # 67
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