AIF-C01 — questions

A company uses an Amazon Bedrock foundation model (FM) to summarize documents for an internal use case. The company trained a custom model in Amazon Bedrock to improve the quality of the model's summarizations. The company needs a solution to use the customized model on Amazon Bedrock. Which solution will meet this requirement?

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assist customers with product inquiries, order tracking, and returns. The chatbot must be able to process text inputs and image inputs to generate responses. Which AWS service meets these requirements?

A company wants to increase employee productivity by using a generative AI solution to write code to test software applications. Which solution will meet these requirements with the LEAST operational effort?

Which AWS service helps select foundation models (FMs) for generative AI use cases?

Which option is a disadvantage of using generative AI models in production systems?

A company wants to use foundational models (FMs) to develop and deploy an AI model. Which AWS service or resource will meet these requirements with the LEAST development effort?

A financial company stores patterns of fraudulent behavior in a database. The company uses this data to conduct investigations. The company wants to use a graph-based ML solution to develop an AI tool that helps with these investigations. Which AWS service will meet these requirements?

An AI Practitioner is using an LLM-as-a-judge in Amazon Bedrock to evaluate the quality of agent responses in a production environment. The AI practitioner wants to apply a built-in metric that assesses how thoroughly the agent responses address all parts of each prompt or question. Which metric will meet these requirements?

A company is building a generative AI application with a foundation model (FM). The application needs to automatically generate marketing emails. The company wants the application’s output text to be creative and short in length. Which configuration of inference parameters will meet these requirements?

A company is using AI to build a toy recommendation website that suggests toys based on a customer’s interests and age. The company notices that the AI tends to suggest stereotypically gendered toys. Which AWS service or feature should the company use to investigate the bias?

A company has a team of AI practitioners that builds and maintains AI applications in an AWS account. The company must keep records of the actions that each AI practitioner takes in the AWS account for audit purposes. Which AWS service will meet these requirements?

A company wants to use AI for budgeting. The company made one budget manually and one budget by using an AI model. The company compared the budgets to evaluate the performance of the AI model. The AI model budget produced incorrect numbers. Which option represents the AI model’s problem?

A company trains image and text generation models on Amazon SageMaker AI. The company releases the models by using Amazon Bedrock. The company must retain a tamper-proof, queryable record of every API call from SageMaker AI, Amazon Bedrock, and AWS Identity and Access Management (IAM). Which AWS service will meet these requirements?

Which type of ML technique provides the MOST explainability?

A company is building a custom AI solution in Amazon SageMaker Studio to analyze financial transactions for fraudulent activity in real time. The company needs to ensure that the connectivity from SageMaker Studio to Amazon Bedrock traverses the company’s VPC. Which solution meets these requirements?

An education company wants to build a private tutor application. The application will give users the ability to enter text or provide a picture of a question. The application will respond with a written answer and an explanation of the written answer. Which model type meets these requirements?

Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?

A company has deployed an AI application in production on AWS. The application’s responses have become less accurate over time. The company needs a solution to send alerts when the application performance drifts. Which AWS service or feature will meet this requirement?

A company stores its AI datasets in Amazon S3 buckets. The company wants to share the S3 buckets with its business partners. The company needs to avoid accidentally sharing sensitive data. Which AWS service should the company use to discover sensitive data in the dataset?

What is continues pre-training?