Mastering Markov chains for actuarial modeling, especially when preparing for Exam C, is a powerful skill that opens the door to solving complex insurance and financial problems. Markov chains provide a structured way to model transitions between different states over time, where the future depends only on the current state—not the entire history. This property, known as the Markov property, simplifies analysis and makes these models incredibly useful in actuarial science.