(b) Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation.
The AI Project Cycle follows a fixed sequence: first the problem is defined (Problem Scoping), then data is collected (Data Acquisition), then patterns are studied (Data Exploration), then the model is built (Modelling), and finally the model is tested (Evaluation). The textbook explicitly lists these stages in this order. Option (b) matches exactly.