HPE2-B08 PrüfungGuide, HP HPE2-B08 Zertifikat - HPE Private Cloud AI Solutions

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HP HPE2-B08 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Customer Assessment and Solution Positioning	15%	- Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions
Topic 2: Solution Sizing and Configuration	17%	- Building configurations via One Config Advanced (OCA) - Differences between configuration sizes and options - Using HPE Intelligent Configurator for sizing
Topic 3: Software Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations
Topic 4: Fundamental AI Concepts	28%	- Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads
Topic 5: Infrastructure Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements

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HPE Private Cloud AI Solutions HPE2-B08 Prüfungsfragen mit Lösungen (Q76-Q81):

76. Frage
A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)

A. HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs.
B. HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.
C. HPE Cray compute nodes.
D. 8 worker nodes.
E. 4 worker nodes.

Antwort: B,E

77. Frage
A customer's distributed AI training job is experiencing poor performance. An analysis reveals high network latency. The architect suspects a misconfiguration in the NVIDIA Spectrum switches that form the RoCE-based AI fabric.
They review the following configuration snippet from one of the switch ports connected to a compute node:
```
interface ethernet 1/1
description "Connection to PCAI-Node-1"
speed 200G
mtu 9216
switchport mode trunk
## Priority Flow Control (PFC) is disabled on this port
```
What is the most likely cause of the performance issue?

A. The port is incorrectly configured in trunk mode instead of access mode.
B. The MTU size is too small for AI workloads.
C. Priority Flow Control (PFC) is disabled, which is mandatory for a lossless RoCE fabric.
D. The port speed is not sufficient for the connected H100 GPU.

Antwort: C

78. Frage
An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A. Project 2 is a fine-tuning workload.
B. Project 2 is a classic inferencing workload with no model customization.
C. Project 1 is a model training workload.
D. Project 1 is a RAG (Retrieval-Augmented Generation) workload.

Antwort: A,D

79. Frage
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. No, because the HPE Private Cloud AI solution is air-gapped and cannot connect to external switches.
C. Yes, as long as the existing switches are also from NVIDIA, they are compatible.
D. Yes, any 200GbE switch can be substituted to lower the cost.

Antwort: A

80. Frage
A customer is building an application to classify images of defective products on a manufacturing line.
Which type of neural network layer is essential for this model to automatically learn and identify visual features like edges, corners, and textures in the images?

A. A convolutional layer
B. A recurrent layer
C. An output layer with a softmax function
D. A dense (fully connected) layer

Antwort: A

81. Frage
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