What are the key aspects of computational thinking?

The correct choice highlights the core components of computational thinking, which involves breaking down complex problems into manageable parts (decomposition) and identifying patterns to help resolve similar issues efficiently. This approach allows individuals to tackle challenges methodically, conceptualizing solutions by examining the problem from multiple angles and addressing each part systematically.

Through decomposition, a large problem can be divided into smaller, more manageable tasks, making it easier to understand and solve. Pattern recognition plays a critical role as well; by spotting similarities within problems, one can apply known solutions to new but related challenges. Together, these strategies are fundamental in programming, problem-solving, and various fields that require analytical thinking.

While the other options touch on important areas in computer science, they do not encompass the essential strategies of computational thinking. Data storage, retrieval, and modification focus more on database management; writing syntax for programming languages pertains specifically to coding practices; and developing user interfaces relates to design principles in software development—all of which are important but are not the foundational strategies of computational thinking itself.