1. Examination assesses advanced theoretical topics in computer science, including floating-point representation, data structures, and algorithm analysis. 2. Topics include bit allocation in floating-point numbers, communication protocols, peer-to-peer file sharing, and encryption mechanisms for secure data transfer. 3. Logic circuit analysis focuses on creating truth tables, Boolean expressions, Karnaugh maps, and optimized sum-of-products simplifications. 4. Algorithmic questions cover infix-to-RPN conversion, stack-based RPN evaluation, and pseudocode for search algorithms like linear and binary search. 5. Declarative programming tasks involve writing clauses for activity selection, representing data, and creating rules for logical constraints. 6. Artificial intelligence concepts such as reinforcement learning and its application in AI systems are addressed, with marks allocated for clear, detailed explanations.