Infosys vs Snapchat: Interview Question Comparison

When preparing for technical interviews, understanding the specific focus of each company can dramatically improve your efficiency. Infosys and Snapchat represent two distinct ends of the spectrum: a global IT services giant and a fast-paced social media tech company. Their interview questions reflect their core business needs—Infosys emphasizes foundational problem-solving for large-scale projects, while Snapchat tests for efficient, real-time system thinking. This comparison breaks down their question volume, difficulty, and topics to help you strategize your preparation.

Question Volume and Difficulty

The data shows a clear difference in volume and the profile of easy questions.

• Infosys (158 questions): With nearly 60% more questions than Snapchat, Infosys's list is broad. The difficulty distribution (42 Easy, 82 Medium, 34 Hard) indicates a strong emphasis on Medium-level problems. This large, medium-heavy pool suggests they test for consistent, competent application of standard algorithms across many problem types, which is typical for companies dealing with diverse enterprise projects.

• Snapchat (99 questions): The list is more curated. The striking detail is the low number of Easy questions (only 6), with the vast majority being Medium (62) and Hard (31). This skew indicates Snapchat's interviews are designed to quickly filter for candidates who can handle complex problem-solving under pressure, aligning with the performance demands of a consumer-facing app.

In short, Infosys tests for breadth and solid fundamentals, while Snapchat tests for depth and the ability to tackle challenging problems from the start.

Topic Overlap

Both companies prioritize Array and String manipulation, as these are fundamental to most coding problems. Beyond that, their focus diverges, revealing their engineering priorities.

• Infosys's Additional Focus: Dynamic Programming (DP) and Math. DP questions are classic for testing optimized, recursive problem-solving—a key skill for efficient large-scale systems. Math problems assess logical and analytical thinking. This combination points to an interview that values algorithmic optimization and strong analytical fundamentals.

• Snapchat's Additional Focus: Hash Table and Breadth-First Search (BFS). Heavy use of Hash Tables is essential for achieving O(1) lookups, critical in real-time features like messaging and story feeds. BFS is the go-to algorithm for finding shortest paths or levels, directly applicable to features like friend connections or discovering content. This toolkit is highly practical for building responsive, graph-like social features.

Here’s a typical problem illustrating the difference in focus:

# Infosys-style: Dynamic Programming/Math focus
# Problem: Count ways to reach the nth stair (can take 1 or 2 steps)
def climb_stairs(n: int) -> int:
    if n <= 2:
        return n
    dp = [0] * (n + 1)
    dp[1], dp[2] = 1, 2
    for i in range(3, n + 1):
        dp[i] = dp[i-1] + dp[i-2]
    return dp[n]

Which to Prepare for First

Your preparation order should be guided by your target role and current skill level.

Prepare for Infosys first if: You are early in your interview preparation journey. The larger volume of questions, higher count of Easy problems, and focus on foundational topics like Arrays, Strings, DP, and Math provide a comprehensive grounding in core algorithms. Mastering this list will build a strong base that is transferable to almost any other technical interview, including Snapchat's.

Prepare for Snapchat first if: You are already comfortable with core data structures and are targeting roles in product-driven tech companies. Diving into their Medium- and Hard-heavy list will sharpen your skills under more realistic, high-pressure conditions. The intense focus on Hash Tables and BFS will force you to master the efficient, practical algorithms crucial for real-time systems.

Regardless of your target, a solid strategy is to master the shared Array and String fundamentals, then branch out into Infosys's DP/Math problems for algorithmic depth, followed by Snapchat's Hash Table and BFS problems for applied, performance-critical coding.

For focused practice, visit the Infosys question list at /company/infosys and the Snapchat question list at /company/snapchat.