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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q19-Q24):

NEW QUESTION # 19
A customer has used the HPE Intelligent Configurator and determined that the HPE Private Cloud AI
"Small - Expanded" configuration meets their needs. They now need to generate a final, quotable Bill of Materials (BOM).
What is the most direct and efficient method for the sales team to create this BOM?

A. Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.
B. Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.
C. Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
D. Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).

Answer: C

NEW QUESTION # 20
An organization is deploying a multi-tenant AI environment using HPE Private Cloud AI. They need to run several smaller, independent AI inference workloads on a single, powerful NVIDIA H100 GPU to maximize resource utilization. Each workload must be securely isolated with its own dedicated portion of the GPU's compute and memory resources.
What key NVIDIA technology, supported on the Hopper architecture, allows for this secure partitioning of a single physical GPU? (Select all that apply.)

A. NVLink Bridge
B. GPUDirect Storage (GDS)
C. Multi-Instance GPU (MIG)
D. Confidential Computing
E. Remote Direct Memory Access (RDMA)

Answer: C,D

NEW QUESTION # 21
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 list of all end-users who will access the system.
B. A subscription to the NVIDIA NGC catalog for downloading AI models.
C. A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
D. A rack elevation diagram for the data center.

Answer: C

NEW QUESTION # 22
In a Natural Language Processing (NLP) task, what is the role of a tokenizer?

A. To convert a sentence of raw text into a sequence of numerical tokens that a model can process.
B. To apply a final activation function to determine the output class.
C. To encrypt the input text to ensure data privacy during model training.
D. To train the neural network using backpropagation.

Answer: A

NEW QUESTION # 23
A company has developed a custom fraud detection model. Their data science team wants to deploy this model into production for other applications to use. They want to avoid the complexity of manually configuring the serving environment, optimizing for hardware, and creating a scalable API endpoint.
How does using an NVIDIA Inference Microservice (NIM) within HPE Private Cloud AI simplify this process?

A. NIM provisions the underlying Kubernetes cluster and physical servers.
B. NIM provides a framework that packages the model into an optimized, ready-to-deploy container with a standard API.
C. NIM automatically fine-tunes the model on new data to improve its accuracy.
D. NIM directly connects to the raw data sources to perform data preparation and cleaning.

Answer: B

NEW QUESTION # 24
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