A company is building a generative Al application and is reviewing foundation models (FMs). The company needs to consider multiple FM characteristics.
Select the correct FM characteristic from the following list for each definition. Each FM characteristic should be selected one time. (Select THRE
E.
)Concurrency
Context windows
Latency
A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights.
Which AWS service can the company use to meet this requirement?
A hospital is developing an AI system to assist doctors in diagnosing diseases based on patient records and medical images. To comply with regulations, the sensitive patient data must not leave the country the data is located in.
A company wants to build and deploy ML models on AWS without writing any code.
Which AWS service or feature meets these requirements?
A company has developed a neural network model to replace an existing decision tree model. The neural network model has a higher prediction accuracy compared to the decision tree model. However, the neural network model’s decision process is not as explainable as the decision tree model’s decision process.
Which tradeoff is the company making by adopting the neural network model?
A company is using AI to build a toy recommendation website that suggests toys based on a customer ' s interests and age. The company notices that the AI tends to suggest stereotypically gendered toys.
Which AWS service or feature should the company use to investigate the bias?
A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of learning should the company use to train the model?
A company plans to implement a generative AI (GenAI) tool to create content that is based on trending social media topics.
Which option represents a legal risk of creating content by using this tool?
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?
