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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Customer Assessment and Solution Positioning15%- Position appropriate HPE AI solutions
- Assess AI maturity, workload characteristics and use cases
Topic 2: Software Components of HPE Private Cloud AI with NVIDIA20%- Software functions supporting AI operations
- Benefits of HPE and NVIDIA software stack
Topic 3: Solution Sizing and Configuration17%- Differences between configuration sizes and options
- Using HPE Intelligent Configurator for sizing
- Building configurations via One Config Advanced (OCA)
Topic 4: Infrastructure Components of HPE Private Cloud AI with NVIDIA20%- Infrastructure capabilities for AI workload requirements
- Benefits of HPE and NVIDIA integrated infrastructure
Topic 5: Fundamental AI Concepts28%- General AI concepts, applications and workloads
- Impact of AI on industries and infrastructure requirements

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HPE Private Cloud AI Solutions Sample Questions (Q14-Q19):

NEW QUESTION # 14
An AI application is being developed to analyze financial time-series data to predict stock market trends. The model needs to understand long-term dependencies and the sequence in which data points occur.
Which neural network architecture is specifically designed to handle sequential data like text or time- series?

Answer: B


NEW QUESTION # 15
A customer is building an application to classify images of defective products on a manufacturing line.
Which type of neural network layer is essential for this model to automatically learn and identify visual features like edges, corners, and textures in the images?

Answer: B


NEW QUESTION # 16
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?

Answer: B


NEW QUESTION # 17
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?
```
Customer Goal:
- Accelerate development of custom generative AI apps
- Utilize pre-trained foundation models
- Require tools for data prep, model customization, and safety
```

Answer: A


NEW QUESTION # 18
An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

Answer: B


NEW QUESTION # 19
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