Amazon vs Snapchat: Interview Question Comparison

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

Question Volume and Difficulty

The sheer scale of preparation required differs dramatically between these two companies.

Amazon maintains a massive, well-documented public repository of interview questions, with a total of 1938 questions categorized by difficulty: 530 Easy, 1057 Medium, and 351 Hard. This volume indicates that while you cannot memorize questions, you are very likely to encounter problems that share patterns and structures with those in the known pool. The distribution suggests a strong emphasis on Medium-difficulty problems, which form the core of their technical screens and on-site interviews. Preparing for Amazon requires broad and deep practice across this spectrum.

Snapchat's known question pool is significantly smaller, at 99 questions total: 6 Easy, 62 Medium, and 31 Hard. This smaller pool doesn't mean the interview is easier; it often means questions can be more unique, less formulaic, and require deeper on-the-spot problem-solving. The high ratio of Medium and Hard questions indicates they prioritize complex problem-solving over basic competency checks.

Topic Overlap

Both companies heavily test foundational data structures and algorithms, but with subtle differences in focus.

The core overlapping topics are Array, String, and Hash Table. These are fundamental to most coding interviews. Mastery here is non-negotiable for both.

Amazon's standout topic is Dynamic Programming (DP). This aligns with their leadership principles like "Dive Deep" and "Invent and Simplify," often requiring candidates to break down complex, scalable problems into optimal substructures. DP questions frequently appear in their interviews for roles dealing with optimization, systems design, and scalable algorithms.

Snapchat's distinctive focus is Breadth-First Search (BFS). Given Snapchat's core product revolves around social graphs, networks, and shortest-path problems (e.g., friend connections, story propagation, geo-filters), graph traversal algorithms like BFS are highly relevant. You should be adept at applying BFS in matrix/grid problems and explicit graph scenarios.

# Example: BFS in a grid (relevant for Snapchat)
from collections import deque

def shortest_path(grid):
    if not grid or not grid[0]:
        return -1
    rows, cols = len(grid), len(grid[0])
    directions = [(1,0),(-1,0),(0,1),(0,-1)]
    queue = deque([(0, 0, 0)])  # (row, col, distance)
    visited = set((0,0))

    while queue:
        r, c, dist = queue.popleft()
        if r == rows-1 and c == cols-1:
            return dist
        for dr, dc in directions:
            nr, nc = r + dr, c + dc
            if 0 <= nr < rows and 0 <= nc < cols and grid[nr][nc] == 0 and (nr, nc) not in visited:
                visited.add((nr, nc))
                queue.append((nr, nc, dist + 1))
    return -1

Which to Prepare for First

If you are interviewing with both, start with Amazon preparation. The vast question pool and heavy emphasis on core topics like Arrays, Strings, Hash Tables, and Dynamic Programming will build a rigorous foundation. Mastering Medium-difficulty problems and DP patterns will make you competitive for Amazon and simultaneously cover the essential basics for Snapchat. Once this base is solid, pivot to sharpen your graph theory and BFS skills specifically for Snapchat, practicing their unique, often harder, problem variations.

In summary, Amazon demands breadth and pattern recognition across a huge problem set, while Snapchat tests depth and innovative application on a more focused, graph-heavy set. Build the Amazon foundation first, then specialize for Snapchat's graph-centric challenges.

For more detailed question lists and patterns, visit the Amazon and Snapchat question pages: Amazon Interview Questions | Snapchat Interview Questions