A company plans to build an AI model for the company’s global customer base. The company wants to train the model on a dataset that reflects user diversity.
Which action will meet this requirement?
A company has deployed an AI application in production on AWS. The application ' s responses have become less accurate over time. The company needs a solution to send alerts when the application performance drifts.
Which AWS service or feature will meet this requirement?
A company is using custom models in Amazon Bedrock for a generative AI application. The company wants to use a company-managed encryption key to encrypt the model artifacts that the model customization jobs create. Which AWS service meets these requirements?
A financial company is training a generative AI model to predict outcomes of loan applications. The training dataset is small. The dataset categorizes loan applicants as " younger-aged, " " middle-aged, " or " older-aged. " Most individuals in the dataset are characterized as " middle-aged. "
The company removes the age range feature from the training dataset.
Which model behavior will likely happen as a result of this change to the dataset?
A company designed an AI-powered agent to answer customer inquiries based on product manuals.
Which strategy can improve customer confidence levels in the AI-powered agent ' s responses?
A company uses Amazon Bedrock to implement a generative AI assistant on a website. The AI assistant helps customers with product recommendations and purchasing decisions. The company wants to measure the direct impact of the AI assistant on sales performance.
A company wants to use an AI/ML service to build a conversational AI application.
Which AWS service will meet these requirements?
