AIF-C01 Practice Question 93: Lifecycle Model Customization Phase

AWS Certified AI Practitioner (AIF-C01) · Test 10 · question 3 of 10

Fundamentals of GenAIeasy

A team has defined its use case and chosen a foundation model. It is now experimenting with prompt engineering, retrieval-augmented generation and fine-tuning to align the model with the application's goals. Which phase of the generative AI lifecycle is the team in?

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Answer:

D. Model customization

The AWS Well-Architected Generative AI Lens lists the lifecycle phases as scoping, model selection, model customization, development and integration, deployment, and continuous improvement. The model customization phase *"aligns the model with the application's goals"* by *"taking a pre-trained model and customizing it to fit the particular use case by using techniques like prompt engineering, RAG, agents, fine-tuning, continuous pre-training, model distillation, and human feedback alignment"* (option D).

- A is wrong because scoping is where the business problem, success metrics and risks are defined. That work is already done. - B is wrong because model selection is the phase in which candidate models are compared. The team has already picked one. - C is wrong because deployment rolls the solution out to production with CI/CD and monitoring. The team is still adapting the model.

Reference: Generative AI lifecycle

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