AIF-C01 — questions

Which option is a benefit of using infrastructure as code (IaC) in machine learning operations (MLOps)?

A company wants to fine-tune a foundation model (FM) to answer questions for a specific domain. The company wants to use instruction-based fine-tuning. How should the company prepare the training data?

Which ML technique ensures data compliance and privacy when training AI models on AWS?

A manufacturing company has an application that ingests consumer complaints from publicly available sources. The application uses complex hard-coded logic to process the complaints. The company wants to scale this logic across markets and product lines. Which advantage do generative AI models offer for this scenario?

A financial company wants to flag all credit card activity as possibly fraudulent or non-fraudulent based on transaction data. Which type of ML model meets these requirements?

A hospital wants to use a generative AI solution with speech-to-text functionality to help improve employee skills in dictating clinical notes. Which AWS service meets these requirements?

Which type of AI model makes numeric predictions?

What is the purpose of vector embeddings in a large language model (LLM)?

A company wants to fine-tune a foundation model (FM) by using AWS services. The company needs to ensure that its data stays private, safe, and secure in the source AWS Region where the data is stored. Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

A financial company uses AWS to host its generative AI models. The company must generate reports to show adherence to international regulations for handling sensitive customer data. Which AWS service meets these requirements?

A medical company wants to modernize its onsite information processing application. The company wants to use generative AI to respond to medical questions from patients. Which AWS service should the company use to ensure responsible AI for the application?

Which metric is used to evaluate the performance of foundation models (FMs) for text summarization tasks?

What is the benefit of fine-tuning a foundation model (FM)?

A company wants to improve its chatbot's responses to match the company's desired tone. The company has 100 examples of high-quality conversations between customer service agents and customers. The company wants to use this data to incorporate company tone into the chatbot's responses. Which solution meets these requirements?

An ecommerce company is using a chatbot to automate the customer order submission process. The chatbot is powered by AI and is available to customers directly from the company's website 24 hours a day, 7 days a week. Which option is an AI system input vulnerability that the company needs to resolve before the chatbot is made available?

A social media company wants to prevent users from posting discriminatory content on the company's application. The company wants to use Amazon Bedrock as part of the solution. How can the company use Amazon Bedrock to meet these requirements?

An education company waftion. 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?

In which stage of the generative AI model lifecycle are tests performed to examine the model's accuracy?

Which statement correctly describes embeddings in generative AI?

A company wants to add generative AI functionality to its application by integrating a large language model (LLM). The responses from the LLM must be as deterministic and as stable as possible. Which solution meets these requirements?