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AWS Certified AI Practitioner practice questions

218 free questions with answers and explanations.

Practice test
  1. 201.A data scientist is preparing a dataset for an AI/ML model that will predict the probability of a customer defaulting on a loan. The dataset contains various numerical features such as 'LoanAmount' (ranging from $1,000 to $1,000,000) and 'CreditScore' (ranging from 300 to 850). What data preprocessing technique should be applied to these features to ensure that features with larger numerical ranges do not disproportionately influence the model?AI/ML and Generative AI Fundamentals
  2. 202.An e-commerce company wants to implement a system that suggests products to customers based on their past purchases, browsing history, and similar users' behavior. The primary goal is to increase customer engagement and sales by showing relevant items. Which machine learning task best describes the core functionality of this system?AI/ML and Generative AI Fundamentals
  3. 203.A data scientist is preparing a dataset of customer reviews for sentiment analysis using a generative AI model. They need to represent each word in the reviews as a numerical vector that captures its semantic meaning and contextual relationships with other words. Which technique is best suited for this purpose?AI/ML and Generative AI Fundamentals
  4. 204.A financial institution is implementing a machine learning model to detect fraudulent transactions. They are particularly concerned about missing actual fraudulent transactions, even if it means flagging some legitimate transactions incorrectly. Which metric should they prioritize to evaluate the model's effectiveness?AI/ML and Generative AI Fundamentals
  5. 205.A startup is developing an AI tutor application that needs to answer student questions based on a vast, constantly updated curriculum. The curriculum includes textbooks, lecture notes, and research articles, which are too large to fit into a single model's context window and change frequently. To ensure the AI provides accurate and up-to-date answers without requiring constant model retraining, which approach should the startup adopt?Foundation Models
  6. 206.A marketing team is looking to automate the creation of personalized email campaigns and social media posts for various product launches. They need a system that can generate creative, contextually relevant, and grammatically correct content based on product descriptions and target audience profiles. Which foundation model characteristic is most crucial for successfully implementing this solution?Foundation Models
  7. 207.A data scientist is preparing a dataset for an AI/ML model that will predict customer churn. The dataset includes a 'CustomerID' column, which uniquely identifies each customer. What is the most appropriate action for the data scientist to take with this column before training the model?AI/ML and Generative AI Fundamentals
  8. 208.A team is developing a new generative AI model to compose entire musical pieces. They are now in the phase where the trained model is used to actually generate new, unseen musical compositions. Which stage of the AI/ML lifecycle does this activity belong to?AI/ML and Generative AI Fundamentals
  9. 209.A team is developing a large language model (LLM) for a specialized legal domain, such as patent law. They find that a pre-trained general-purpose LLM performs poorly on legal jargon and nuances. To improve its performance without training a new model from scratch, they want to adapt the pre-trained model to their specific legal dataset. Which technique is most appropriate for this scenario?AI/ML and Generative AI Fundamentals
  10. 210.A research team is developing a generative AI model to create novel protein structures based on a sequence of amino acids. The model needs to understand the long-range dependencies and the sequential relationships within the amino acid chain to generate biologically plausible structures. Which neural network architecture is best suited for this task?AI/ML and Generative AI Fundamentals
  11. 211.A team is developing a generative AI model to create new musical compositions. They want to control the 'creativity' or 'randomness' of the generated music. A higher value should lead to more surprising and diverse compositions, while a lower value should produce more predictable and conventional pieces. Which generative AI parameter should they adjust?AI/ML and Generative AI Fundamentals
  12. 212.A data scientist is investigating a trained AI model that predicts loan default risk. They discover that the model consistently assigns higher risk scores to applicants from a particular demographic group, even when other financial indicators are similar to those of lower-risk applicants from other groups. What type of issue does this scenario highlight?AI/ML and Generative AI Fundamentals
  13. 213.A large enterprise is considering using a foundation model for various internal tasks, including document summarization, internal knowledge base Q&A, and code generation for developers. The security team has strict data residency and privacy requirements, stating that all sensitive company data must remain within the company's private cloud infrastructure and cannot be exposed to external services. Which deployment strategy is MOST appropriate for this scenario?Foundation Models
  14. 214.A software development team is building a new application and needs assistance with writing code, automating repetitive tasks, and suggesting best practices directly within their integrated development environment (IDE). They are looking for an AI-powered tool that can integrate seamlessly with popular IDEs and improve developer productivity. Which AWS service meets these requirements?AWS Services for AI/ML and Generative AI
  15. 215.A media company provides live sports commentary in multiple languages. They want to automatically translate the live audio commentary into text in several target languages with minimal delay, ensuring that global viewers can follow the game in their preferred language. Which AWS service should they use to achieve this real-time, multi-language translation of spoken content?AWS Services for AI/ML and Generative AI
  16. 216.A global pharmaceutical company is developing a new drug discovery platform that involves training machine learning models with highly sensitive patient genetic data. This data must remain within specific geographical boundaries due to strict regulatory compliance requirements. Which AWS security measure is critical to ensure that the data processed by AWS AI/ML services adheres to these data residency requirements?AWS Services for AI/ML and Generative AI
  17. 217.A financial institution is developing a fraud detection system that needs to analyze vast amounts of transaction data in real time, identifying suspicious patterns as they occur. The solution must be highly scalable, process data with low latency, and integrate seamlessly with other AWS services for downstream analysis. Which AWS service is purpose-built for collecting, processing, and analyzing streaming data at scale?AWS Services for AI/ML and Generative AI
  18. 218.A retail company wants to analyze customer reviews to automatically identify common complaints and positive feedback themes. They need an AWS service that can process large volumes of unstructured text data quickly and cost-effectively, without requiring extensive machine learning expertise. Which AWS service is best suited for this task?AWS Services for AI/ML and Generative AI