Free Amazon AIF-C01 Exam Questions

A company is using Amazon Bedrock and it wants to regulate the percentage of most-likely candidates considered for the next word in the model's output.

Which of the following inference parameters would you recommend for the given use case?

Which prompt engineering technique helps break down a complex problem into smaller logical parts?

A retail company needs a solution that can help in forecasting foot traffic, visitor counts, and channel demand to efficiently manage the operating costs.

Which AWS ML service is the right fit for this use case?

A marketing company is researching generative AI technologies to better understand how they work and what makes them suitable for automating creative tasks. Understanding the core principles of generative AI will help the company determine if it’s the right fit for their content creation needs.Given this context, which of the following best describes generative AI?

A machine learning team at a tech company is developing a generative AI model to automate text generation for customer support. As part of optimizing the model’s performance, the team needs to adjust both model parameters and hyperparameters but wants to clearly understand the distinctions between the two. Understanding these differences is crucial for fine-tuning the model and improving its output.Which of the following highlights the key differences between model parameters and hyperparameters in the context of generative AI?