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

2. An IT director for a regional retail chain tells you they are "doing AI." Upon further questioning, you learn they have one data scientist who has built a single, experimental sales forecasting model as a proof-of-concept (PoC). The project lacks clear KPIs for success and there is no formal strategy for how to productionize it or what to do next.
How would you classify this customer's AI maturity level?

A) AI Pro
B) AI Curious
C) Deployer of AI at scale
D) AI Beginner

3. An architect is designing an AI solution for a financial services company that needs to build a chatbot.
The chatbot must answer customer queries using the company's latest internal policy documents, which are updated daily. The company has a limited budget and no data scientists available for a lengthy model retraining project.
Which approach should the architect recommend?

A) Use a pre-trained computer vision model to extract text from the policy documents.
B) Fine-tune a pre-trained model daily by retraining it on the entire set of policy documents.
C) Use a pre-trained model and implement a Retrieval-Augmented Generation (RAG) framework.
D) Train a new LLM from scratch using only the company's policy documents to ensure data privacy.

4. 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

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

Solutions: