Practice IB Computer Science (First Exam 2027) Topic A4.1 Machine Learning Fundamentals with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for A4.1 Machine Learning Fundamentals and mirrors Paper 1, 2 style where relevant.
Get instant solutions, detailed explanations, and build confidence with questions aligned to IB examiner expectations.
A ride-sharing platform uses machine learning for dynamic pricing, driver matching, and route optimization while facing scrutiny over algorithmic fairness and labor practices.
how supervised learning could be used to reduce passenger wait times, and how reinforcement learning could be used to improve route choices.
An autonomous vehicle system uses machine learning for object detection and path planning in real-time driving scenarios.
(a) between supervised learning and unsupervised learning for training the vehicle's object detection system.
(b) The object detection model is trained on a large dataset of driving images.
one reason a graphics processing unit (GPU) is used rather than a central processing unit (CPU) to train this model.
An educational technology platform uses AI to personalize learning experiences for students while addressing concerns about data privacy and algorithmic bias.
how supervised learning, unsupervised learning and reinforcement learning could each be used by the platform to adapt to an individual student.
A natural language processing application translates text between languages and provides sentiment analysis for customer feedback across global markets.
(a) The company trains its translation models on a very large collection of text.
the hardware the company would require to train these models.
(b) how transfer learning can help the company develop a translation model for a language with very little available training data.
A smart agriculture platform uses machine learning to optimize crop yields while addressing concerns about environmental impact and farmer autonomy.
how supervised learning and unsupervised learning could each be used by the platform.
