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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?

A) The Medium configuration is the only one that includes the HPE AI Essentials software.
B) The Medium configuration has more storage capacity than the Large configuration.
C) The Large configuration does not support Retrieval-Augmented Generation (RAG).
D) The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.

2. 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) Manually add each component (servers, GPUs, switches, cables, etc.) one by one into 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) Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
D) Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.

3. A data science team is struggling to manage their AI/ML projects. They use a variety of open-source tools for data preparation, training, and MLOps, but integrating them is complex and time-consuming.
They need a unified platform that provides self-service access to a curated and pre-integrated set of these tools.
Which HPE Private Cloud AI software component is specifically designed to solve this problem?

A) HPE GreenLake for File Storage
B) HPE Intelligent Configurator
C) NVIDIA NIM
D) HPE AI Essentials

4. A customer needs a solution for their deployed customer service chatbot. They state: "We don't need to change the model itself, but we need the chatbot to answer questions using our product documentation, which is updated every night. The answers must be fast and based on the latest documents." How would you categorize this workload?

A) A large-scale model training workload.
B) A model development and experimentation workload.
C) A RAG (Retrieval-Augmented Generation) inferencing workload.
D) A classic AI inferencing workload.

5. An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

A) NVIDIA L40S GPUs
B) NVIDIA H100 NVL GPUs
C) HPE Aruba Networking CX 6300M switches
D) NVIDIA NVLink Bridge
E) NVIDIA SN4700M switches supporting 200GbE RoCE

Solutions: