Fundamentals of AI and ML Questions
Practice questions for Fundamentals of AI and ML topic in AWS Certified AI Practitioner. 42 questions covering this domain.
A claims team wants a system that learns patterns from past claim outcomes instead of relying only on fixed rules. Which term best describes this appr...
A retailer wants to group customers into segments based on similar shopping behavior, but it does not have predefined labels. Which ML technique is th...
A product team wants to identify sentiment and extract insights from large volumes of customer reviews. Which AWS service best matches this need?
A media company needs to convert recorded customer calls into text so analysts can review them later. Which AWS service should it use?
A compliance team must produce the exact same tax treatment every time because the rules are fully defined by regulation. What is the best recommendat...
A lending model shows high accuracy in testing, but customer complaints increase and the project is not meeting its financial goals. What should the t...
A manufacturer receives millions of sensor readings every hour and wants predictions generated overnight for the next day's planning cycle. Which infe...
A model has already been deployed to production. Which lifecycle activity is most important to detect performance degradation over time?
A data team wants a SageMaker feature specifically focused on preparing and transforming data before model training. Which feature should they choose?
A company has thousands of emails already labeled as spam or not spam and wants to train a model with those examples. Which learning type should it us...
Which AWS service provides pre-trained computer vision capabilities to detect objects, faces, and unsafe content in images and videos?
A team needs to label thousands of images to train a supervised model and wants a managed AWS service for labeling workflows. Which feature should the...
Which term describes a subset of machine learning that uses multi-layer neural networks to learn complex patterns from large datasets?
A team wants to predict next quarter's product demand using historical sales time-series data. Which AWS service is purpose-built for this use case?
A team is choosing between regression and classification for a model that predicts whether a customer will churn (yes or no). Which task type is appro...
A business analyst with limited coding skills wants to build, train, and deploy ML models using a no-code visual interface. Which AWS feature is the b...
Which AWS service uses ML to deliver real-time personalized recommendations for applications such as ecommerce and media?
Which inference option in Amazon SageMaker is designed for workloads with intermittent traffic where the team wants the endpoint to scale to zero betw...
A company wants to operationalize ML by automating training, deployment, and monitoring with CI/CD-style workflows. Which practice and AWS feature com...
A model performs very well on the training set but poorly on new unseen data. What problem is the model exhibiting?
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