Banco de preguntas (422)

A company's employees provide product descriptions and recommendations to customers when customers call the customer service center. These recommendations are based on where the customers are located. The company wants to use foundation models (FMs) to automate this process. Which AWS service meets these requirements?

A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants to receive an alert every time sensitive information is found. Which solution fully automates the sensitive information detection process with the LEAST development effort?

A company is training its employees on how to structure prompts for foundation models. Which prompt engineering technique matches the template: "[Question.] [Instructions to follow.] Think step by step and walk me through your thinking."?

A company is using a generative AI model to develop a digital assistant. Which Amazon Bedrock Guardrails filter policy should be used to avoid subjects related to illegal investment advice or legal advice?

Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

What does an F1 score measure in the context of foundation model (FM) performance?

A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. Which strategy will meet these requirements MOST cost-effectively?

A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics. Which core dimension of responsible AI does this scenario present?

A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application development phases and to ensure that company policies and industry regulations are followed. Which AWS services will help the company assess compliance requirements? (Choose two.)

A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock. Which solution meets these requirements MOST cost-effectively?

A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which strategy should the company use to identify harmful language?

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?

A company is deploying AI/ML models by using AWS services. The company wants to offer transparency into the models' decision-making processes and provide explanations for the model outputs. Which AWS service or feature meets these requirements?

A manufacturing company wants to create product descriptions in multiple languages. Which AWS service will automate this task?

A company wants more customized responses to its generative AI models' prompts. Select the correct customization methodology from the following list for each use case. Each use case should be selected one time.

Which AWS feature records details about ML instance data for governance and reporting?

A financial company is using ML to help with some of the company's tasks. Which option is a use of generative AI models?

A medical company wants to develop an AI application that can access structured patient records, extract relevant information, and generate concise summaries. Which solution will meet these requirements?

Which option describes embeddings in the context of AI?

A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?