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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
| Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Infrastructure capabilities for AI workload requirements - Benefits of HPE and NVIDIA integrated infrastructure |
| Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations |
| Customer Assessment and Solution Positioning | 15% | - Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions |
| Solution Sizing and Configuration | 17% | - Differences between configuration sizes and options - Using HPE Intelligent Configurator for sizing - Building configurations via One Config Advanced (OCA) |
HPE Private Cloud AI Solutions Sample Questions:
Match the stakeholder in an AI project to their most likely primary concern.
Stakeholders:
1. Data Scientist
2. AI Decision Maker (CIO)
3. Data Engineer
Concerns:
a. "How can I easily build, manage, and automate data pipelines to feed our models?" b. "What is the total cost of ownership (TCO) and return on investment (ROI) for this AI initiative?" c. "Which hyperparameter tuning method will give my model the highest accuracy?"
- A. 1-c, 2-b, 3-a
- B. 1-a, 2-c, 3-b
- C. 1-b, 2-a, 3-c
- D. 1-c, 2-a, 3-b
Correct Answer: A 🗳️
During a discovery call, a customer from a telecommunications company explains their primary goal:
"We need to analyze network traffic patterns in real-time to detect anomalies that could indicate a security threat or a network outage." Which key use case for HPE Private Cloud AI does this represent?
- A. AI Recommender System
- B. AI Cybersecurity
- C. Code Generation
- D. Document Chat
Correct Answer: B 🗳️
An architect is designing a distributed training solution using HPE Private Cloud AI. The solution involves multiple HPE ProLiant DL380a servers, each with four NVIDIA H100 GPUs.
Review the logical network topology:
```
[HPE ProLiant Server 1] \
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
\
[NVIDIA Spectrum Switch (RoCE)] <--> [HPE GreenLake for File Storage]
/
[HPE ProLiant Server 2] /
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
```
Which interconnect technology facilitates the highest-bandwidth communication path labeled "(Internal)" for scaling the training job across the GPUs within a single server?
- A. RDMA over Converged Ethernet (RoCE)
- B. NVIDIA NVLink Bridge
- C. GPUDirect Storage (GDS)
- D. PCI Express (PCIe) Gen5
Correct Answer: B 🗳️
An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?
- A. 3x HPE ProLiant DL325 Gen11 servers for management
- B. 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
- C. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
- D. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
Correct Answer: D 🗳️
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 number of ML engineers who will maintain the model.
- B. The physical location of the data center where the solution will be deployed.
- C. The estimated number of concurrent users who will be querying the chatbot.
- D. The brand of networking switches used in their existing data center fabric.
Correct Answer: C 🗳️
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