Banco de preguntas (422)

A manufacturing company uses AI to inspect products and find any damages or defects. Which type of AI application is the company using?

A company wants to create an ML model to predict customer satisfaction. The company needs fully automated model tuning. Which AWS service meets these requirements?

Which technique can a company use to lower bias and toxicity in generative AI applications during the post-processing ML lifecycle?

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

A company has developed a large language model (LLM) and wants to make the LLM available to multiple internal teams. Which inference mode should be used for a chatbot that needs to process real-time user queries with minimal latency?

A company needs to log all requests made to its Amazon Bedrock API. The company must retain the logs securely for 5 years at the lowest possible cost. Which combination of AWS service and storage class meets these requirements? (Choose two.)

An ecommerce company wants to improve search engine recommendations by customizing the results for each user of the company's ecommerce platform. Which AWS service meets these requirements?

A hospital is developing an AI system to assist doctors in diagnosing diseases based on patient records and medical images. To comply with regulations, the sensitive patient data must not leave the country the data is located in. Which data governance strategy will ensure compliance and protect patient privacy?

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service. Which AWS service meets these requirements?

An AI practitioner is developing a prompt for an Amazon Titan model. The model is hosted on Amazon Bedrock. The AI practitioner is using the model to solve numerical reasoning challenges. The AI practitioner adds the following phrase to the end of the prompt: "Ask the model to show its work by explaining its reasoning step by step." Which prompt engineering technique is the AI practitioner using?

Which AWS service makes foundation models (FMs) available to help users build and scale generative AI applications?

A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses. Which solution will meet these requirements?

A company wants to enhance response quality for a large language model (LLM) for complex problem-solving tasks. The tasks require detailed reasoning and a step-by-step explanation process. Which prompt engineering technique meets these requirements?

A company wants to keep its foundation model (FM) relevant by using the most recent data. The company wants to implement a model training strategy that includes regular updates to the FM. Which solution meets these requirements?

A company wants to develop ML applications to improve business operations. Which statement correctly maps ML paradigms to their use cases?

Which option is a characteristic of AI governance frameworks for building trust and deploying human-centered AI technologies?

An ecommerce company is using a generative AI chatbot to respond to customer inquiries. The company wants to measure the financial effect of the chatbot on the company's operations. Which metric should the company use?

A company wants to find groups for its customers based on the customers' demographics and buying patterns. Which algorithm should the company use to meet this requirement?

A company's large language model (LLM) is experiencing hallucinations. How can the company decrease hallucinations?

A company is using a large language model (LLM) on Amazon Bedrock to build a chatbot. The chatbot processes customer support requests. To resolve a request, the customer and the chatbot must interact a few times. Which solution gives the LLM the ability to use content from previous customer messages?