Practice IB Computer Science (First Exam 2027) Topic A4.2 Data Preprocessing with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for A4.2 Data Preprocessing and mirrors Paper 1, 2 style where relevant.
Get instant solutions, detailed explanations, and build confidence with questions aligned to IB examiner expectations.
Discuss the impact of data quality on model performance. 2 marks
Discuss the impact of data quality on model performance.
Define the concepts of normalization and standardization.
Define the concepts of normalization and standardization.
Outline why data cleaning is needed in training models.
Outline why data cleaning is needed in training models.
In the context of modelling and simulation, list two benefits of feature selection for improving a model.
Identify one reason data cleaning is needed before training a convolutional neural network.
Identify one reason data cleaning is needed before training a convolutional neural network.