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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements |
| Customer Assessment and Solution Positioning | 15% | - Position appropriate HPE AI solutions - Assess AI maturity, workload characteristics and use cases |
| Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
| Solution Sizing and Configuration | 17% | - Differences between configuration sizes and options - Building configurations via One Config Advanced (OCA) - Using HPE Intelligent Configurator for sizing |
| Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Software functions supporting AI operations - Benefits of HPE and NVIDIA software stack |
HPE Private Cloud AI Solutions Sample Questions:
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
Correct Answer: B 🗳️
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
Correct Answer: B 🗳️
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
Correct Answer: C 🗳️
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).
Correct Answer: B 🗳️
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.
Correct Answer: A,C 🗳️
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