HP HPE2-B08

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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. 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?

A) K-Means Clustering Algorithm
B) Convolutional Neural Network (CNN)
C) A fully connected, feedforward neural network
D) Transformer model

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

3. A customer needs a solution for AI inferencing at the edge for a computer vision application. They have determined a Small configuration of HPE Private Cloud AI is sufficient. The solution also requires several value-added services, including an AI transformation workshop and a data design service.
How should an architect attach these services in One Config Advanced (OCA)?

A) The architect must open a support ticket with HPE to have the services added to the quote.
B) The services must be quoted separately from the hardware and software configuration.
C) The services can be selected and added to the configuration as optional line items within OCA.
D) The services are automatically included in the Smart Template and require no action.

4. A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?

A) HPE Private Cloud AI with NVIDIA
B) AI-optimized HPE ProLiant DL servers
C) NVIDIA DGX Systems
D) HPE Cray systems
E) An HPE AI Services - Transformation Workshop

5. 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) Prometheus
C) JupyterLab
D) Apache Airflow

Solutions: