Greetings, budding developers! Today, we're going to dive into the world of data structures, focusing on how to handle queries efficiently using Kotlin. This is a common challenge encountered in various data science and algorithmic scenarios. Let's uncover the intricacies of managing sorted data collections in Kotlin and engage in some interactive problem-solving!

Before jumping into the task, let's understand how Kotlin handles sorted data structures. While Kotlin doesn't have a direct equivalent to Java's TreeSet, it offers the SortedSet interface and various collection operations that help maintain a sorted order without duplicates.

Advantages of using sorted collections include:

1. Extracting the minimum or maximum values from a sorted structure often comes with logarithmic or linear time complexity, depending on the specific implementation or method used.
2. Maintaining a sorted order with each insertion or deletion can be achieved through various collection operations, typically offering time complexities like $O(\log N)$ or better with a priority queue.