Banco de preguntas (422)

A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within the company's private network. Which solution will meet these requirements?

A documentary filmmaker wants to reach more viewers. The filmmaker wants to automatically add subtitles and voice-overs in multiple languages to their films. Which combination of steps will meet these requirements? (Choose two.)

A company wants to create a chatbot to answer employee questions about company policies. Company policies are updated frequently. The chatbot must reflect the changes in near real time. The company wants to choose a large language model (LLM). Which solution meets these requirements?

A company is using supervised learning to train an AI model on a small labeled dataset that is specific to a target task. Which step of the foundation model (FM) lifecycle does this describe?

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 AI principle one time or not at all.

A company is introducing a new feature for its application. The feature will refine the style of output messages. The company will fine-tune a large language model (LLM) on Amazon Bedrock to implement the feature. Which type of data does the company need to meet these requirements?

A healthcare company is building an AI solution to predict patient readmission within 30 days of patient discharge. The company has trained a model on historical patient data including medical history, demographics, and treatment specifications, to provide readmission predictions in real time. Which task describes AI model inference in this scenario?

A financial company wants to build workflows for human review of ML predictions. The company wants to define confidence thresholds for its use case and adjust the thresholds over time. Which AWS service meets these requirements?

A company wants to develop an AI assistant for employees to query internal data. Which AWS service will meet this requirement?

A company wants to build and deploy ML models on AWS without writing any code. Which AWS service or feature meets these requirements?

A design company is using a foundation model (FM) on Amazon Bedrock to generate images for various projects. The company wants to have control over how detailed or abstract each generated image appears. Which model parameter should the company modify?

A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet. Which AWS service should the company use?

An ecommerce company is deploying a chatbot. The chatbot will give users the ability to ask questions about the company's products and receive details on users' orders. The company must implement safeguards for the chatbot to filter harmful content from the input prompts and chatbot responses. Which AWS feature or resource meets these requirements?

A company wants to learn about generative AI applications in an experimental environment. Which solution will meet this requirement MOST cost-effectively?

A company needs to collect a large dataset to train an AI assistant in a specific content area. Which dataset will meet this requirement?

A financial company is developing a generative AI application for loan approval decisions. The company needs the application output to be responsible and fair. Which solution meets these requirements?

Select the correct AWS service or tool from the following list for each use case. Select each AWS service or tool one time or not at all. - Apply human feedback across the ML lifecycle to improve the accuracy and relevancy of models. - Implement safeguards that align with responsible AI policies. - Detect potential bias during data preparation and model training.

An AI practitioner who has minimal ML knowledge wants to predict employee attrition without writing code. Which Amazon SageMaker feature meets this requirement?

A company is using AI to improve its services. The company needs to ensure that the AI system is fair and explainable. The company wants to require training for members of the AI system development team. Which training will meet these requirements?

A company has an ML model. The company wants to know how the model makes predictions. Which term refers to understanding model predictions?