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 company has implemented a generative AI solution to create personalized exercise routines for premium subscription users. The company offers free basic subscriptions and paid premium subscriptions. The company wants to evaluate the AI solution ' s return on investment over time.
A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?
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?
An online learning company with large volumes of educational materials wants to use enterprise search. Which AWS service meets these requirements?
A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.
After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.
How can the company improve the performance of the chatbot?
A financial company is creating an AI model for customer loan applications. The company wants to demonstrate the principles of human-centered design for explainable AI.
Which Amazon SageMaker AI feature meets these requirements?
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. (Select THRE
E.
)• Continued pre-training
• Data augmentation
• Model fine-tuning
Which prompting attack directly exposes the configured behavior of a large language model (LLM)?
A company is using Amazon SageMaker AI to develop AI/ML solutions. The company must use only approved data for model training. The AI/ML solutions must comply with company policy and ethical guidelines.
Which solution will meet these requirements?
