Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model ' s performance?
A company needs an automated solution to group its customers into multiple categories. The company does not want to manually define the categories. Which ML technique should the company use?
A company wants to set up private access to Amazon Bedrock APIs from the company ' s AWS account. The company also wants to protect its data from internet exposure.
A company wants to control employee access to publicly available foundation models (FMs). Which solution meets these requirements?
A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks and to use AI responsibly. What does this accreditation certify?
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 is developing a customer service agent by using Amazon Bedrock. The company wants to ensure that the agent does not disclose personally identifiable information (PII) during conversations with users.
Which Amazon Bedrock feature meets these requirements?
An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface.
Which solution will meet these requirements with the LEAST development effort?
Which THREE of the following principles of responsible AI are most critical to this scenario? (Choose 3)
* Explainability
* Fairness
* Privacy and security
* Robustness
* Safety
