A travel agency is developing an application that will automate the process of making travel reservations for customers. The application will use an Amazon Bedrock model. The application needs to orchestrate multiple actions and API calls to interpret customer inputs and produce reservation outputs.Which AWS service or feature meets these requirements?
Answer(s): A
Agents for Amazon Bedrock can interpret user requests, break them into steps, orchestrate multiple actions,and call APIs or other systems to complete tasks such as creating travel reservations.
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.Which methodology should the company use to meet these requirements?
Answer(s): B
Unsupervised learning is suitable for analyzing unlabeled data and grouping it into clusters or tiers, which aligns with the company’s goal of classifying customers. The other methods require labeled data or are used for different types of problems.
What are tokens in the context of generative AI models?
Tokens are the smallest units (e.g., words, subwords, or characters) that generative AI models use to process text. They form the basis of both the input given to and the output generated by the model. The other options do not accurately describe tokens in this context.
A company wants to identify harmful language in the comments section of social media posts by using an MLmodel. The company will not use labeled data to train the model.Which strategy should the company use to identify harmful language?
Amazon Comprehend provides pre-trained NLP models, including toxicity detection, to analyze text for harmful language. Since the company does not plan to use labeled data for training, Amazon Comprehend is a suitable choice because it does not require custom training and can automatically detect toxic or harmful content in comments.
HOTSPOT (Drag and Drop is not supported)A company is developing an AI application to help the company approve or deny personal loans. The application must follow the principles of responsible AI.Select the correct responsible AI principle from the following list for each action. Select each responsible AIprinciple one time or not at all.Hot Area:
Encrypt the application data, and isolate the application on a private network -> Privacy and securityEvaluate how different population groups will be impacted -> FairnessTest the application with unexpected data to ensure the application will work in unique situations -> RobustnessProtecting data and networks is part of privacy and security.Assessing impacts on different groups ensures fairness.Testing with unexpected data checks the application's robustness.
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