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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?

A) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
B) HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
C) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
D) HPE ProLiant DL380a Gen11 server with CPU-only configuration

2. A financial services firm is building a fraud detection application on HPE Private Cloud AI. The application needs to process a continuous stream of transaction data from multiple sources in real time.
The data science team requires a robust platform to build, manage, and execute the complex data pipelines needed to feed the AI model.
Which pre-integrated open-source tool within HPE AI Essentials is the industry standard for orchestrating and managing these complex data workflows and pipelines?

A) Kyverno
B) Apache Airflow
C) JupyterLab
D) Prometheus

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

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

5. A customer is planning to deploy an HPE Private Cloud AI solution. Their IT department has provided a worksheet detailing the workload requirements. The solution architect needs to select the appropriate configuration size.
Review the customer's requirements:
```
- Primary Workload: Fine-tuning a 70-billion parameter foundation model
- Secondary Workload: AI Inferencing with RAG
- User Base: 50 developers during tuning; 300 concurrent users for inference
- Data Sensitivity: High (must remain on-premises)
- Power/Cooling: Standard data center air cooling available
```
Which HPE Private Cloud AI configuration is required to meet these demands, and what is the key component that justifies this choice? (Choose 2.)

A) The solution requires a Large configuration.
B) The solution requires a Medium configuration.
C) The key component is the NVIDIA H100 NVL GPU, designed for large-scale training and fine-tuning.
D) The key component is the HPE ProLiant DL325 server in the management plane.
E) The key component is the NVIDIA L40S GPU, which is optimized for RAG workloads.

Solutions: