The exam focuses on computational problem-solving and program design in Computer Science, emphasizing algorithms, data structures, and coding practices. Key topics include state transition diagrams, hexadecimal to decimal conversion, and the implementation of algorithms like the greatest common factor calculation. Practical tasks involve modifying and testing a simulation program, handling input validation, file operations, and incorporating randomness in simulation outcomes. Analytical components include pseudocode tracing, program hierarchy evaluation, and performance improvement. Programming tasks test skills in structured coding, subroutine integration, and debugging while addressing algorithmic efficiency and logical correctness in diverse scenarios.