The Design Circular Queue interview question asks you to implement a FIFO (First-In-First-Out) data structure using a fixed-size array. Unlike a regular queue, once the end of the array is reached, the "next" element is placed at the beginning of the array if there is space. This Design Circular Queue coding problem is essential for optimizing memory usage in applications like buffers and caches.
Companies like Goldman Sachs, Amazon, and Google ask this to evaluate your ability to manage pointers and handle state wrap-around. It tests your knowledge of Array interview patterns and your ability to write logic that works under strict space constraints. It’s a core systems-design building block.
This problem follows the Circular Buffer pattern.
head and tail pointers.count or size variable to track the current number of elements.enQueue: If not full, place the value at (tail + 1) % capacity and increment count.deQueue: If not empty, move head to (head + 1) % capacity and decrement count.Front/Rear: Return elements at current pointer positions.Capacity = 3.
enQueue(1), enQueue(2): Queue is [1, 2, _]. head=0, tail=1.enQueue(3): Queue is [1, 2, 3]. head=0, tail=2.deQueue(): head moves to index 1. Logic treats the queue as [_, 2, 3].enQueue(4): tail wraps around to 0. Queue is [4, 2, 3].Rear(): Returns element at index 0 (value 4).head == tail (using a count variable is the easiest fix).tail before incrementing it, or vice-versa, without consistent logic.Practice implementing this without a count variable as a follow-up challenge. It requires a "sentinel" space (keeping one array slot empty) to distinguish between full and empty states, which is a great way to show off deeper pointer-math skills.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Design Circular Deque | Medium | Solve | |
| Design Front Middle Back Queue | Medium | Solve | |
| Design Phone Directory | Medium | Solve | |
| Zigzag Iterator | Medium | Solve | |
| Moving Average from Data Stream | Easy | Solve |