Free Amazon AIF-C01 Exam Questions

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?

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base. Which technique should the company use to optimize the generated responses?

A company uses a generative model to analyze animal images in the training dataset to record variables like different ear shapes, eye shapes, tail features, and skin patterns.Which of the following tasks can the generative model perform?

What is an example of structured data?  

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from thecustomer service department. The AI practitioner wants to store invocation logs to monitor modelinput and output data.