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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamental AI Concepts | 28% | - General AI concepts, applications and workloads - Impact of AI on industries and infrastructure requirements |
| Topic 2: Customer Assessment and Solution Positioning | 15% | - Position appropriate HPE AI solutions - Assess AI maturity, workload characteristics and use cases |
| 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: Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Software functions supporting AI operations - Benefits of HPE and NVIDIA software stack |
| Topic 5: Solution Sizing and Configuration | 17% | - Using HPE Intelligent Configurator for sizing - Building configurations via One Config Advanced (OCA) - Differences between configuration sizes and options |
HPE Private Cloud AI Solutions Sample Questions:
1. A large financial institution, a known "Deployer of AI at scale," needs to train a next-generation fraud detection model. This new model has over a trillion parameters, significantly larger than their current models, and requires an exascale-class computing solution to be trained in a reasonable timeframe.
Which HPE AI solution should be positioned to meet this customer's demanding requirement?
A) AI-optimized HPE ProLiant DL servers
B) HPE GreenLake for File Storage
C) HPE Private Cloud AI with NVIDIA, Large configuration
D) HPE Cray systems
2. An architect uses the HPE Intelligent Configurator for a customer with 120 concurrent users for a text generation task with RAG. The tool recommends a "Medium - Expanded (4-node)" configuration. The customer then reveals they want to use a smaller, more efficient 7B parameter model instead of the 13B model the tool defaulted to.
How will this change in model size likely affect the sizing tool's recommendation?
A) It will downgrade the recommendation to a "Medium - Standard (2-node)" configuration.
B) It will upgrade the recommendation to a "Large - Standard (4-node)" configuration.
C) It will require the architect to switch to the "application capacity" sizing method.
D) It will have no effect, as the number of users is the primary factor.
3. An enterprise is designing a solution for training a large, custom Convolutional Neural Network (CNN) for a new computer vision application. Their data science team has determined that the training process will need to be distributed across multiple GPUs to be completed in a reasonable timeframe. The training process involves intensive matrix multiplication operations.
The architect is specifying components from the HPE Private Cloud AI solution.
Which infrastructure components are critical for accelerating this specific distributed training workload?
(Select all that apply.)
```
Workload Analysis:
- AI Model: Large Convolutional Neural Network (CNN)
- Task: Distributed Training
- Key Operation: Intensive matrix multiplication
```
A) HPE GreenLake for File Storage with standard NFS over TCP/IP.
B) HPE ProLiant DL325 servers for the worker nodes.
C) An NVIDIA NVLink Bridge to connect the GPUs.
D) The HPE Data Fabric software component.
E) NVIDIA GPUs featuring multiple Tensor Cores.
4. A customer in the public sector wants to use AI to analyze live video feeds from city-wide cameras to automate public safety tasks like detecting traffic accidents or identifying security threats in real-time.
This is their first major AI initiative.
Which AI use case does this scenario represent?
A) Natural Language Processing (NLP)
B) Recommender Systems
C) Drug Discovery
D) Computer Vision / Intelligent Video Analytics
5. 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 has more storage capacity than the Large configuration.
B) The Medium configuration is the only one that includes the HPE AI Essentials software.
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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: C,E | Question # 4 Answer: D | Question # 5 Answer: D |
