Free Amazon AIF-C01 Exam Questions

A company is deploying a generative AI model on Amazon Bedrock and needs to reduce the cost of usage while using prompt examples of up to 10 sample tasks as part of each input.Which approach would be the most effective in minimizing the costs associated with model usage?

A company is using Amazon Bedrock and it wants to set an upper limit on the number of tokens returned in the model's response.Which of the following inference parameters would you recommend for the given use case?

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner is creatingsystem instructions that include context relevant to the tasks. The AI practitioner wants to save andreuse the instructions in daily interactions with FMs in Amazon Bedrock.Which Amazon Bedrock solution will meet these requirements?

A retail company is looking to implement AI-driven solutions to enhance its in-store operations, such as automating inventory management and improving security through visual monitoring. The company wants to leverage pre-trained computer vision (CV) models for fast deployment but also needs the flexibility to customize these models to fit specific business needs. To make an informed decision, the team is evaluating AWS services that offer both pre-trained and customizable computer vision capabilities.What do you suggest?

Which of the following use cases is addressed by the Amazon Forecast service?