Free Amazon AIF-C01 Exam Questions

A company has implemented a chatbot powered by Amazon Bedrock to handle customer inquiries and support requests. While the chatbot is effective at providing automated responses, the company has noticed that some of the replies do not consistently match its desired tone — professional, empathetic, and friendly. To maintain brand consistency and ensure a positive customer experience, the company needs to align the chatbot’s responses with its specific communication style and standards.Which approach would be most effective for ensuring that the chatbot's responses are consistently aligned with the company's tone and style?

Which of the following use cases represent the best fit for Amazon SageMaker Asynchronous Inference deployment?

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?  

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 option is a characteristic of AI governance frameworks for building trust and deploying humancentered AI technologies?