Microsoft vs Snapchat: Interview Question Comparison

When preparing for technical interviews at top tech companies, understanding their specific question patterns and focus areas is crucial. Microsoft and Snapchat, while both demanding strong algorithmic skills, present distinct landscapes in terms of volume, difficulty, and topic emphasis. This comparison breaks down their interview question profiles to help you strategize your preparation.

Question Volume and Difficulty

The most striking difference is the sheer scale of available practice material. On platforms like LeetCode, Microsoft has a massive repository of over 1,350 questions, categorized by difficulty: 379 Easy, 762 Medium, and 211 Hard. This vast pool reflects Microsoft's long history, diverse product suite (Azure, Windows, Office), and the wide variety of engineering roles. Preparing for Microsoft means sifting through a large dataset, but it also means patterns are well-documented. The emphasis is solidly on Medium-difficulty problems, which form the core of their technical screens and on-site interviews.

In contrast, Snapchat (Snap Inc.) has a much more focused set of around 99 questions, with a distribution of 6 Easy, 62 Medium, and 31 Hard. The significantly higher proportion of Hard questions (over 30% compared to Microsoft's ~15%) is notable. This suggests that while the total number of questions is smaller, Snapchat's process may dive deeper into complex problem-solving, often within a narrower set of concepts. The preparation journey here is about depth over breadth.

Topic Overlap

Both companies heavily test fundamental data structures. Array, String, and Hash Table problems are cornerstone topics for both Microsoft and Snapchat. You cannot go wrong mastering these.

# Example Hash Table problem: Two Sum
def two_sum(nums, target):
    seen = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in seen:
            return [seen[complement], i]
        seen[num] = i
    return []

# Usage
print(two_sum([2, 7, 11, 15], 9))  # Output: [0, 1]

The key divergence is in the next layer of topics. Microsoft shows a strong emphasis on Dynamic Programming (DP), a topic critical for optimizing complex problems involving recursion and overlapping subproblems (e.g., longest common subsequence, knapsack variations). Snapchat, however, places a distinct priority on Breadth-First Search (BFS), essential for shortest path problems, level-order traversals, and graph explorations—highly relevant for features involving networks, maps, or social graphs.

# Example BFS: Level-order traversal skeleton
from collections import deque

def bfs_level_order(root):
    if not root:
        return []
    result = []
    queue = deque([root])
    while queue:
        level_size = len(queue)
        level = []
        for _ in range(level_size):
            node = queue.popleft()
            level.append(node.val)
            if node.left:
                queue.append(node.left)
            if node.right:
                queue.append(node.right)
        result.append(level)
    return result

Which to Prepare for First

Start with Microsoft. Its enormous question bank covers a wider breadth of fundamental algorithms. Mastering the core topics (Array, String, Hash Table) and Dynamic Programming will build a robust foundation that is directly transferable. The Medium-focused difficulty is ideal for strengthening general problem-solving skills. Once this base is solid, transitioning to Snapchat's focused list becomes more manageable. You can then concentrate on deepening your knowledge of BFS and tackling a higher density of Hard problems, using your established fundamentals.

In short, use Microsoft's breadth to build your core competency, then apply that foundation to conquer Snapchat's depth.

For focused practice, visit the Microsoft and Snapchat question lists: Microsoft Interview Questions | Snapchat Interview Questions