TCS vs Coupang: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns is crucial for efficient study. TCS (Tata Consultancy Services) and Coupang represent two distinct ends of the interview spectrum: one is a global IT services giant with a broad, high-volume question bank, and the other is a focused e-commerce tech company with a smaller, more intense set of problems. A direct comparison of their data reveals strategic differences in what they assess and how you should prepare.

Question Volume and Difficulty

The most striking difference is scale. TCS has a documented 217 questions, while Coupang has 53. This doesn't mean TCS interviews are harder; it often indicates a wider pool of questions for a larger, more diverse hiring pipeline.

The difficulty distribution further highlights their focus:

• TCS: Easy (94), Medium (103), Hard (20). The spread is broad, with a strong emphasis on Medium problems. This suggests a balanced interview process testing core competency.
• Coupang: Easy (3), Medium (36), Hard (14). The scarcity of Easy questions is telling. Coupang's process is heavily weighted toward Medium and Hard challenges, indicating an expectation for strong problem-solving skills under pressure.

This means for TCS, you must cover more ground with reliable, clean solutions. For Coupang, you must drill deeper on fewer, more complex problem types.

Topic Overlap

Both companies emphasize Array, String, and Hash Table problems. These form the bedrock of their interviews. Mastery here is non-negotiable for either.

The critical divergence is the fourth major topic:

• TCS heavily features Two Pointers. This efficient pattern is essential for solving many array and string problems optimally.
• Coupang prominently lists Dynamic Programming (DP). This is a classic differentiator for tech-focused roles, testing advanced algorithm design and optimization.

This divergence shapes the study plan. For TCS, fluency in sliding window, opposite-end pointers, and fast-slow pointers is key. For Coupang, you must be prepared to break down complex problems into overlapping subproblems and states.

Example: A "Two Sum" variant (common for both) vs. a DP problem (Coupang focus):

# Two Pointers approach for a sorted array (TCS-relevant)
def two_sum_sorted(numbers, target):
    left, right = 0, len(numbers) - 1
    while left < right:
        current_sum = numbers[left] + numbers[right]
        if current_sum == target:
            return [left + 1, right + 1]  # 1-indexed
        elif current_sum < target:
            left += 1
        else:
            right -= 1
    return []

# DP approach for "Climbing Stairs" (Coupang-relevant)
def climb_stairs(n):
    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 choice depends on your goals and timeline.

Prepare for TCS first if: You are building foundational data structures and algorithm skills. The larger volume of Medium problems provides extensive practice on core patterns (Two Pointers, Hash Table) that are universal. Succeeding here builds a broad base applicable to many other companies.

Prepare for Coupang first if: You are targeting tech-centric roles and already have a solid grasp of fundamentals. The concentrated set of Medium/Hard problems, especially in Dynamic Programming, requires deep, focused study. Mastering this will make many other interviews feel less daunting, but attempting it without a strong foundation is inefficient.

In practice, a hybrid approach works best: use the high-frequency TCS topics (Array, String, Hash Table, Two Pointers) to build core speed and accuracy. Then, layer on Coupang's advanced requirement (Dynamic Programming) to reach the level of optimization they expect.

For detailed question lists and patterns, visit the company pages: TCS and Coupang.