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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. A customer is using the HPE Intelligent Configurator to determine the correct size for an HPE Private Cloud AI solution. Their primary use case is a text generation chatbot for internal HR support.
What is the MOST critical piece of information the customer must provide to the sizing tool to get an accurate recommendation for the number and type of GPUs required?

A) The estimated number of concurrent users who will be querying the chatbot.
B) The brand of networking switches used in their existing data center fabric.
C) The physical location of the data center where the solution will be deployed.
D) The number of ML engineers who will maintain the model.

2. An enterprise wants to build an internal AI platform that functions like an "App Store." Their goal is to provide various internal development teams with a catalog of curated AI models that they can easily deploy and integrate into their applications without needing deep AI expertise. The platform must be secure, reliable, and scalable.
Which software components within the HPE Private Cloud AI stack are essential to building this platform? (Select all that apply.)

A) HPE AI Essentials for a unified data science and MLOps plane
B) A collection of pre-trained community and custom-built AI models
C) The HPE Intelligent Configurator
D) NVIDIA NIM (NVIDIA Inference Microservices)
E) NVIDIAAI Enterprise for enterprise-grade support and security

3. A customer needs to run a generative AI workload at multiple, dispersed edge locations. Each location has significant space and power constraints. The workload is inference-only and does not require the absolute highest performance, but rather a balance of good performance and energy efficiency.
Which HPE ProLiant server and NVIDIA GPU combination is specifically positioned for this type of edge AI use case?

A) HPE ProLiant DL384 Gen12 server with NVIDIA H200 NVL GPUs
B) HPE ProLiant DL380a server with NVIDIA H100 NVL GPUs
C) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
D) HPE Cray system with NVIDIA Grace Hopper Superchips

4. The three pre-defined sizes (Small, Medium, Large) of HPE Private Cloud AI are designed to address different primary workloads. Match the configuration size to its intended primary workload.
*Configuration Size:
1. Small
2. Medium
3. Large
*Primary Workload:
a. AI Inferencing with RAG and large-scale Fine-Tuning
b. AI Inferencing
c. AI Inferencing with RAG

A) 1-a, 2-b, 3-c
B) 1-c, 2-a, 3-b
C) 1-b, 2-a, 3-c
D) 1-b, 2-c, 3-a

5. A large enterprise is adopting HPE Private Cloud AI and needs to accelerate the development of several generative AI applications. Their data science team wants to leverage pre-trained foundation models from NVIDIA but needs to customize them for specific business tasks like contract summarization and internal policy Q&A.
Which NVIDIA AI Enterprise software framework provides a comprehensive, end-to-end toolkit for curating data, customizing models using techniques like PEFT, and implementing guardrails for safe deployment?
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Customer Goal:
- Accelerate development of custom generative AI apps
- Utilize pre-trained foundation models
- Require tools for data prep, model customization, and safety
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A) NVIDIA NeMo
B) NVIDIA RAPIDS
C) NVIDIA NIM (NVIDIA Inference Microservices)
D) NVIDIA Triton Inference Server

Solutions: