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HP HPE2-B08 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 2: Fundamental AI Concepts	28%	- Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads
Topic 3: Customer Assessment and Solution Positioning	15%	- Position appropriate HPE AI solutions - Assess AI maturity, workload characteristics and use cases
Topic 4: Software Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations
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 Sample Questions (Q82-Q87):

NEW QUESTION # 82
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 NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
C. The network switches are not configured for lossless operation (e.g., PFC is disabled).
D. The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
E. The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.

Answer: A,C,D

NEW QUESTION # 83
A customer explains that their data engineers are spending too much time managing disparate data pipelines with a complex set of open-source tools. They are an 'Early AI User' trying to standardize their approach.
Which value proposition of HPE Private Cloud AI directly addresses this specific stakeholder's pain point?

A. It includes HPE AI Essentials, which provides a unified platform with pre-integrated data pipeline and workflow tools like Apache Airflow and Spark.
B. It can be deployed in a colocation facility through HPE GreenLake.
C. It offers a choice of NVIDIA GPUs to accelerate model training.
D. Its management plane uses three redundant HPE ProLiant DL325 servers for high availability.

Answer: A

NEW QUESTION # 84
When a developer deploys an AI model using an NVIDIA Inference Microservice (NIM) on HPE Private Cloud AI, the NIM automatically detects the underlying NVIDIA GPU hardware.
The developer sees the following status message upon deployment:
```
NIM Status:
- Model: mistral-7b-instruct-v0.2
- Status: Running
- Engine Profile: Selected 'TensorRT-LLM FP8' for optimal latency on detected Hopper-class GPU.
```
What does the selection of the 'TensorRT-LLM FP8' engine profile indicate?

A. The NIM container has failed because it requires an FP32 profile to run.
B. The NIM container is running on a CPU-only node and is emulating a GPU.
C. The model is being automatically fine-tuned by the NIM using the TensorRT framework.
D. The underlying GPU supports the Hopper architecture, and NIM has optimized the model using a lower precision format for faster performance.

Answer: D

NEW QUESTION # 85
A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?

A. An HPE AI Services - Transformation Workshop
B. HPE Private Cloud AI with NVIDIA
C. AI-optimized HPE ProLiant DL servers
D. HPE Cray systems
E. NVIDIA DGX Systems

Answer: C

NEW QUESTION # 86
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. Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
B. Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.
C. Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.
D. Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).

Answer: A

NEW QUESTION # 87
......

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