AIF-C01 Exam Questions

Which statement presents an advantage of using Retrieval Augmented Generation (RAG) for natural language processing (NLP) tasks?

A company has created a custom model by fine-tuning an existing large language model (LLM) from Amazon Bedrock. The company wants to deploy the model to production and use the mode...

A company is creating an agent for its application by using Amazon Bedrock Agents. The agent is performing well, but the company wants to improve the agent's accuracy by providing...

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 prepa...

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...

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 requir...

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...

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...

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...

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 a...

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...

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 a...

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...

A company needs to select a generative AI model to build an application. The application must provide responses to users in real time. Which model characteristic should the company...

Which term refers to the instructions given to foundation models (FMs) so that the FMs provide a more accurate response to a question?

A retail company wants to build an ML model to recommend products to customers. The company wants to build the model based on responsible practices. Which practice should the compa...

A company is developing an ML model to predict customer churn. Which evaluation metric will assess the model's performance on a binary classification task such as predicting churn?

An AI practitioner is evaluating the performance of an Amazon SageMaker model. The AI practitioner must choose a performance metric. The metric must show the ratio of the number of...

An ecommerce company receives multiple gigabytes of customer data daily. The company uses the data to train an ML model to forecast future product demand. The company needs a solut...

A company has developed a generative AI model for customer segmentation. The model has been deployed in the company's production environment for a long time. The company recently n...

A company has signed up for Amazon Bedrock access to build applications. The company wants to restrict employee access to specific models available on Amazon Bedrock. Which solutio...

Which ML technique uses training data that is labeled with the correct output values?

Which large language model (LLM) parameter controls the number of possible next words or tokens considered at each step of the text generation process?

A company is making a chatbot. The chatbot uses Amazon Lex and Amazon OpenSearch Service. The chatbot uses the company's private data to answer questions. The company needs to conv...

A company wants to use a large language model (LLM) to generate product descriptions. The company wants to give the model example descriptions that follow a format. Which prompt en...

A grocery store wants to create a chatbot to help customers find products in the store. The chatbot must check the inventory in real time and provide the product location in the st...

A company uses a third-party model on Amazon Bedrock to analyze confidential documents. The company is concerned about data privacy. Which statement describes how Amazon Bedrock pr...

An animation company wants to provide subtitles for its content. Which AWS service meets this requirement?

An ecommerce company wants to group customers based on their purchase history and preferences to personalize the user experience of the company's application. Which ML technique sh...

A company wants to control employee access to publicly available foundation models (FMs). Which solution meets these requirements?

A company has set up a translation tool to help its customer service team handle issues from customers around the world. The company wants to evaluate the performance of the transl...

An AI practitioner wants to generate more diverse and more creative outputs from a large language model (LLM). How should the AI practitioner adjust the inference parameter?

A company has developed custom computer vision models. The company needs a user-friendly interface for data labeling to minimize model mistakes on new real-world data. Which AWS se...

A company is integrating AI into its employee recruitment and hiring solution. The company wants to mitigate bias risks and ensure responsible AI practices while prioritizing equit...

A financial company has deployed an ML model to predict customer churn. The model has been running in production for 1 week. The company wants to evaluate how accurately the model...

A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company informa...

A food service company wants to collect a dataset to predict customer food preferences. The company wants to ensure that the food preferences of all demographics are included in th...

An education company is building a chatbot whose target audience is teenagers. The company is training a custom large language model (LLM). The company wants the chatbot to speak i...

A customer service team is developing an application to analyze customer feedback and automatically classify the feedback into different categories. The categories include product...

A financial services company must ensure that its generative AI-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundat...

A company has created multiple ML models. The company needs a solution for storing, managing, and versioning the models. Which AWS service or feature meets these requirements?

An AI practitioner is building an ML model. The AI practitioner wants to provide model transparency and explainability to stakeholders. Which solution will meet these requirements?