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HP HPE2-B08 Exam Syllabus Topics:

Section	Objectives
Topic 1: HPE Private Cloud AI Fundamentals	- Core AI workload characteristics - Overview of private cloud AI concepts
Topic 2: Security in Private Cloud AI	- Identity and access management - Workload and data protection
Topic 3: Deployment and Operations	- Lifecycle management of AI infrastructure - Deployment models for AI solutions - Monitoring and optimization
Topic 4: Data Management and Governance	- Data lifecycle management - Data governance and compliance
Topic 5: HPE GreenLake for AI Solutions	- GreenLake architecture and services - Consumption-based IT model for AI
Topic 6: AI Infrastructure Design	- Networking for AI workloads - Storage and data pipeline design - Compute and GPU considerations

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HPE Private Cloud AI Solutions Sample Questions (Q12-Q17):

NEW QUESTION # 12
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. 4 worker nodes.
C. HPE Cray compute nodes.
D. HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.
E. 8 worker nodes.

Answer: B,D

NEW QUESTION # 13
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 dense (fully connected) layer
B. An output layer with a softmax function
C. A convolutional layer
D. A recurrent layer

Answer: C

NEW QUESTION # 14
A customer wants to deploy a turnkey private cloud for a variety of generative AI workloads, including RAG-based chatbots and some model fine-tuning. One of their key IT stakeholders is the data engineer.
Which specific challenge for a data engineer is directly addressed by the HPE Data Fabric component within HPE Private Cloud AI?

A. The effort required to create and manage data pipelines and unify diverse, siloed data sources (files, objects, tables) into a single accessible platform.
B. The complexity of writing Python code in a Jupyter Notebook.
C. The high cost of NVIDIA AI Enterprise software licenses.
D. The difficulty of managing GPU cluster utilization for training jobs.

Answer: A

NEW QUESTION # 15
A customer has selected the "HPE Private Cloud AI - Medium - Expanded" configuration.
Which of the following resource counts correctly describes this specific configuration?

A. 2 worker nodes, 8 total L40S GPUs, single rack
B. 4 worker nodes, 16 total H100 NVL GPUs, dual rack
C. 8 worker nodes, 32 total H100 NVL GPUs, dual rack
D. 4 worker nodes, 16 total L40S GPUs, single rack

Answer: D

NEW QUESTION # 16
After an architect selects the "HPE Private Cloud AI - Large - Expanded" Smart Template in OCA, they see it includes a significant number of "HPE Factory Express Complex Unit of SVC" services.
What is the purpose of these bundled services?

A. To provide a credit for future software purchases on the HPE GreenLake cloud.
B. To provide on-site training for the customer's data science team.
C. To allow the customer to exchange the hardware for the next generation at no cost.
D. To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.

Answer: D

NEW QUESTION # 17
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