A company is training ML models on datasets. The datasets contain some classes that have more examples than other classes. The company wants to measure how well the model balances detecting and labeling the classes.
Which metric should the company use?
A company wants to increase employee productivity by using a generative AI solution to write code to test software applications.
Which solution will meet these requirements with the LEAST operational effort?
Which AWS service creates business intelligence reports and automatically generates executive summaries based on data that users provide?
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative.
Which prompt engineering strategy meets these requirements?
A retail company has deployed an ML model to predict whether customers will purchase a product. The dataset is highly imbalanced. Only 5% of customers make purchases. The model shows 95% accuracy. However, the company reports that the model rarely identifies actual buyers.
Which metric should the company use instead to evaluate the model’s performance?
A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?
A company is building an educational application to teach various topics. The company needs a pre-trained model to supply generic content for the topics.
Which solution will meet these requirements?
A company has a generative AI model that has limited training data. The model produces output that seems correct but is incorrect.
Which option represents the model ' s problem?
A law firm wants to use Amazon Bedrock foundation models (FMs) to review and negotiate business contracts. The law firm requires customer data and business information to be protected.
Which option is a potential legal risk of this use case?
A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also wants to observe if the model quality drifts over time.
Which AWS service or feature meets these requirements?
