Banco de preguntas (422)

An ecommerce company wants to group customers based on their purchase history and preferences to personalize the user experience of the company's application. Which ML technique should the company use?

A company wants to control employee access to publicly available foundation models (FMs). Which solution meets these requirements?

A company has set up a translation tool to help its customer service team handle issues from customers around the world. The company wants to evaluate the performance of the translation tool. The company sets up a parallel data process that compares the responses from the tool to responses from actual humans. Both sets of responses are generated on the same set of documents. Which strategy should the company use to evaluate the translation tool?

An AI practitioner wants to generate more diverse and more creative outputs from a large language model (LLM). How should the AI practitioner adjust the inference parameter?

A company has developed custom computer vision models. The company needs a user-friendly interface for data labeling to minimize model mistakes on new real-world data. Which AWS service, feature, or tool meets these requirements?

A company is integrating AI into its employee recruitment and hiring solution. The company wants to mitigate bias risks and ensure responsible AI practices while prioritizing equitable hiring decisions. Which core dimensions of responsible AI should the company consider? (Choose two.)

A financial company has deployed an ML model to predict customer churn. The model has been running in production for 1 week. The company wants to evaluate how accurately the model predicts churn compared to actual customer behavior. Which metric meets these requirements?

A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information. Which solution meets these requirements MOST cost-effectively?

A company is using Amazon SageMaker to develop AI models. Select the correct SageMaker feature or resource from the following list for each step in the AI model lifecycle workflow. Each SageMaker feature or resource should be selected one time or not at all.

A food service company wants to collect a dataset to predict customer food preferences. The company wants to ensure that the food preferences of all demographics are included in the data. Which dataset characteristic does this scenario present?

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?

An education company is building a chatbot whose target audience is teenagers. The company is training a custom large language model (LLM). The company wants the chatbot to speak in the target audience's language style by using creative spelling and shortened words. Which metric will assess the LLM's performance?

A customer service team is developing an application to analyze customer feedback and automatically classify the feedback into different categories. The categories include product quality, customer service, and delivery experience. Which AI concept does this scenario present?

A financial services company must ensure that its generative AI-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundation model (FM) from hallucinating?

A company wants to develop a solution that uses generative AI to create content for product advertisements, including sample images and slogans. Select the correct model type from the following list for each action. Each model type should be selected one time.

A company has created multiple ML models. The company needs a solution for storing, managing, and versioning the models. Which AWS service or feature meets these requirements?

An AI practitioner is building an ML model. The AI practitioner wants to provide model transparency and explainability to stakeholders. Which solution will meet these requirements?

A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics. Which ML strategy should the company use to meet these requirements?

A news agency publishes articles in English. The agency wants to make articles available in other languages. Which solution meets these requirements?

A bank is building a chatbot to answer customer questions about opening a bank account. The chatbot will use public bank documents to generate responses. The company will use Amazon Bedrock and prompt engineering to improve the chatbot's responses. Which prompt engineering technique meets these requirements?