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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. A customer has selected the "HPE Private Cloud AI - Medium - Expanded" configuration.
Which of the following resource counts correctly describes this specific configuration?

A) 2 worker nodes, 8 total L40S GPUs, single rack
B) 4 worker nodes, 16 total L40S GPUs, single rack
C) 8 worker nodes, 32 total H100 NVL GPUs, dual rack
D) 4 worker nodes, 16 total H100 NVL GPUs, dual rack

2. An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A) Project 1 is a model training workload.
B) Project 2 is a fine-tuning workload.
C) Project 1 is a RAG (Retrieval-Augmented Generation) workload.
D) Project 2 is a classic inferencing workload with no model customization.

3. 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) Apache Airflow
B) Prometheus
C) JupyterLab
D) Kyverno

4. After using the HPE Intelligent Configurator, an architect reviews the output for a proposed HPE Private Cloud AI solution.
In addition to the BOM, what other critical information does the tool provide that is essential for site readiness planning? (Select all that apply.)

A) A list of recommended AI models for the specified use case.
B) A list of recommended HPE education courses for the IT staff.
C) The total weight of the solution for data center floor loading considerations.
D) A sample Python script for running the first inference job.
E) The estimated power consumption in kW per rack.

5. An architect is assessing a customer's workloads to position the correct HPE Private Cloud AI configuration. The customer has a single, massive task: training a foundational vision model from scratch using a petabyte-scale image dataset. The project is expected to take months and requires the absolute maximum compute performance available.
Which AI workload type does this represent, and which HPE solution is most appropriate?

A) Workload: Edge Computing; Solution: HPE ProLiant DL320 server
B) Workload: AI Inferencing; Solution: AI-optimized HPE ProLiant DL servers
C) Workload: AI Model Training; Solution: HPE Cray Systems
D) Workload: RAG; Solution: HPE Private Cloud AI - Medium configuration

Solutions: