AIF-C01 Exam Questions

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 ch...

A company's employees provide product descriptions and recommendations to customers when customers call the customer service center. These recommendations are based on where the cu...

A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants...

A company is using a pre-trained large language model (LLM) to extract information from documents. The company noticed that a newer LLM from a different provider is available on Am...

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 company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data ne...

An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language...

Which option describes embeddings in the context of AI?

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

A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock. Which solution meets thes...

Which technique involves training AI models on labeled datasets to adapt the models to specific industry terminology and requirements?

A manufacturing company wants to create product descriptions in multiple languages. Which AWS service will automate this task?

An ecommerce company is deploying a chatbot. The chatbot will give users the ability to ask questions about the company's products and receive details on users' orders. The company...

A company trained an ML model on Amazon SageMaker to predict customer credit risk. The model shows 90% recall on training data and 40% recall on unseen testing data. Which conclusi...

A company deployed a model to production. After 4 months, the model inference quality degraded. The company wants to receive a notification if the model inference quality degrades....

Why does overfilting occur in ML models?

A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics. Which ML strategy should the comp...

An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training co...

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation b...

Which component of Amazon Bedrock Studio can help secure the content that AI systems generate?

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 chum?

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 we...

Which scenario represents a practical use case for generative AI?

Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?

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 media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment...

A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions about their loans. The bank wants to ensure that the model does not reveal a...

An AI practitioner needs to improve the accuracy of a natural language generation model. The model uses rapidly changing inventory data. Which technique will improve the model's ac...

A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application d...

A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which str...

A company is deploying AI/ML models by using AWS services. The company wants to offer transparency into the models' decision-making processes and provide explanations for the model...

A financial company is using ML to help with some of the company's tasks. Which option is a use of generative AI models?

A medical company wants to develop an AI application that can access structured patient records, extract relevant information, and generate concise summaries. Which solution will m...

A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summa...

What is tokenization used for in natural language processing (NLP)?

Which option is a characteristic of transformer-based language models?

A financial company is using AI systems to obtain customer credit scores as part of the loan application process. The company wants to expand to a new market in a different geograp...

A company uses Amazon Bedrock for its generative AI application. The company wants to use Amazon Bedrock Guardrails to detect and filter harmful user inputs and model-generated out...

Which scenario describes a potential risk and limitation of prompt engineering in the context of a generative AI model?

A publishing company built a Retrieval Augmented Generation (RAG) based solution to give its users the ability to interact with published content. New content is published daily. T...

A company wants to collaborate with several research institutes to develop an AI model. The company needs standardized documentation of model version tracking and a record of model...

A company that uses multiple ML models wants to identify changes in original model quality so that the company can resolve any issues. Which AWS service or feature meets these requ...

What is the purpose of chunking in Retrieval Augmented Generation (RAG)?

A company is developing an editorial assistant application that uses generative AI. During the pilot phase, usage is low and application performance is not a concern. The company c...

A company deployed a Retrieval Augmented Generation (RAG) application on Amazon Bedrock that gathers financial news to distribute in daily newsletters. Users have recently reported...

A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The compan...

A company designed an AI-powered agent to answer customer inquiries based on product manuals. Which strategy can improve customer confidence levels in the AI-powered agent's respon...

A hospital developed an AI system to provide personalized treatment recommendations for patients. The AI system must provide the rationale behind the recommendations and make the i...