AIF-C01 Exam Questions

A company uses Amazon Bedrock to implement a generative AI solution. The AI solution provides customers with personalized product recommendations. The company wants to evaluate the...

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 a...

A company is building a generative AI application to help customers make travel reservations. The application will process customer requests and invoke the appropriate API calls to...

A company uses an open source pre-trained model to analyze user sentiment for a newly released product. Which action must the company perform, according to MLOps best practices?

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...

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...

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 th...

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 t...

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-i...

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'...

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 stereotypic...

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 i...

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 t...

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...

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 c...

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...

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...

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 sensiti...

What is continues pre-training?

A real estate company is developing an ML model to predict house prices by using sales and marketing data. The company wants to use feature engineering to build a model that makes...

Which statement describes a generative AI use case for multimodal models?

Which term is the speed at which a pre-trained foundation model (FM) processes requests and delivers output?